Roland Bishop Award for Biomedical Engineering Research 2021 is offered for Research Fellow/ Scientist degree in the field of Engineering . You can apply to this scholarship here. The deadline for the sending your application is 30 May 2021. This scholarship is provided by Queensland University of Technology and the value of this scholarship is Partial Funding, $25,000 . This scholarship is open for: Open to all nationals.

• Degree: Research Fellow/ Scientist
• Provided by: Queensland University of Technology

• Deadline: 30 May 2021
• Scholarship value: Partial Funding, $25,000

The Roland Bishop Biomedical Engineering Research Award is a grant of up to $25,000 that has been created by QUT, in partnership with the family of Roland Bishop. This award supports early career researchers to progress innovative research targeted at the development of a medical device or medical device technology.

Eligibility criteria for Roland Bishop Award for Biomedical Engineering Research 2021:

• Applicants from all nationalities are eligible.
• Applicants must currently be an early career researcher, up to five years post-PhD, in biomedical engineering working to advance the development of an innovative medical device or medical device technology.
• Applicants must have an end date of at least 18 months after your award submission.

Additional Criteria:

• Demonstrated academic excellence in the field of biomedical engineering.
• Potential long term impact of the biomedical device/technology when developed.
• Likelihood of the research achieving its stated research outcomes.
• Research development stage and track record.

Value of Roland Bishop Award for Biomedical Engineering Research 2021:

Successful applicants of the Roland Bishop Award for Biomedical Engineering Research 2021 will receive a grant of up to $25,000.

Deadline of Roland Bishop Award for Biomedical Engineering Research 2021:

The last date to apply for the Roland Bishop Award for Biomedical Engineering Research 2021 is 30th May 2021.

https://www.qut.edu.au/study/fees-and-scholarships/scholarships/roland-bishop-award-for-biomedical-engineering-research

Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc)

Location

KAUST, Thuwal 23955, Kingdom of Saudi Arabia

Open Date

Apr 20, 2021

Deadline

Jun 30, 2021 at 11:59 PM Eastern Time

Description

The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR) group of Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is looking for a postdoctoral researcher in the area of computer vision, AI, and machine learning. The Research Vision-CAIR group performs research and develops computational approaches in the following research themes:

• (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating and understanding unseen art and fashion in 2D and 3D);
• (b) continual learning (e.g., alleviating catastrophic forgetting in various learning settings including recognition RL);
• (c) vision and language (this overlaps with the former themes as 2D and 3D vision is often integrated with language).

A video explaining what is Imagination-Inspired AI relating to themes (a) and (c) is available here:

• https://www.youtube.com/watch?v=Z1dytXfbFkM
• artemisdataset.org (Affective Language for Visual Art) at the intersection between Art and  Language & Vision 

A presentation covering continual learning methods relating to theme (b) is available here: 

• https://www.dropbox.com/s/sdtbmptu7a2chks/deepcontinuallearning.pdf

More information about the research group can be found here:

• https://cemse.kaust.edu.sa/vision-cair
• https://twitter.com/KAUSTVisionCAIR
• http://www.mohamed-elhoseiny.com/

Key requirements include good communication (verbal, writing, etc) and excellent publication record in high-quality journals and/or conference proceedings such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, Nature, TPAMI, AAAI. It is an opportunity to develop core algorithmic advances and aim at publishing them at these top venues. More details about the position can be found here.

We offer fixed Term Contract for the duration of up to 3 years (initial appointment will be for a period of 1 year and after satisfactory evaluation it can be extended for a total duration of 3 years).

As a KAUST postdoc or researcher, you will have access to state-of-the-art research facilities, including a supercomputer. You will work in an exciting international environment with researchers from over 100 nationalities and will have the opportunity to participate in the development of computational algorithms and tools for problems of relevance to Vision-CAIR research group and Visual Computing Center (VCC) with a particular focus on learning efficiency, computational creativity, continual learning, computer vision, and natural language processing.

You will have the opportunity to boost your career development and training, read more here. Post-docs receive highly competitive salaries and other benefits, inclusive of accommodation, healthcare, medical and dental insurance, relocation allowance, one round-trip travel to home country per year, access to on-campus daycare and International Baccalaureate (IB) school, campus transportation (on-demand as well as scheduled), exceptional community services, facilities, programs, and events to help you enjoy an active, healthy, balanced and fulfilled life at KAUST. These community resources allow postdocs and researchers to balance their professional and family commitments.

About KAUST

KAUST is an international, graduate-only research university with researchers from over 100 nationalities, located on the shores of the Red Sea in Saudi Arabia less than an hour drive north of Jeddah. KAUST offers outstanding research facilities, internationally competitive salaries, and generous research funding from KAUST as well as other funding opportunities through industry collaborations. KAUST attracts top international faculty, scientists, engineers and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges.

KAUST has an award-winning campus to live, work, study and play that is designed to inspire and motivate students, employees and their families to maintain an active lifestyle. The community members enjoy elementary and secondary schools, health clinic, on-demand as well as scheduled transportations, thematic community clubs, as well as several fitness and outdoor sports installations including sea-faring sports. On the cultural and leisure side, KAUST fosters the arts with a performance theater for concerts and plays as well as a movie theater, besides numerous dining options and the Red Sea just steps away, information may be found here.

Qualifications

We welcome candidates with a PhD in Computer Science, Engineering, Informatics, or related areas, with a strong background in the theory and practice of one or more of following research areas – machine learning efficiency, computational creativity, continual learning, computer vision, and natural language processing.

We require documented experience about computer vision, machine learning, deep learning or optimization, demonstrated by high-quality publications. We consider as an advantage documented experience publishing in top Computer Vision and AI conferences including CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/AAAI. We consider as an added advantage documented experience in specific instances of following topics: creative AI, zero-shot learning, generative models, and continual learning.

The call is open to all applicants from any nationality. International applications are strongly encouraged. Fluent written and verbal communication skills in English are mandatory. We require commitment, team working and a critical mind.

Application Instructions

You will be required to complete an application form and upload all of the following materials:

• Curriculum Vitae, your contact address, work experience, publications, and clear evidence about the documented experience requested above in the call.
• Letter of intent (up to 500 words) including the personal motivations for applying to KAUST, Vision-CAIR and a statement indicating which research priority(ies) of Vision-CAIR you are interested in, and explaining your motivations for it.
• Copies of up to three papers substantiating your background and experience in these topics.
• An abstract of your PhD thesis (max 1 page).
• Transcripts and results of all courses taken during the Master and PhD programs (transcript copies allowed).
• Contact information for 3 referees.

Because of the high volume of applications that we usually receive, only applications submitted through the online Interfolio form will be considered (https://www.interfolio.com/). Applications will be pre-screened as soon as they are received and will deserve full consideration through rolling cut-off date periods until all positions are filled. Candidates having applied by a given cut-off date (see below) will receive feedback within a reasonable delay thereafter.

For more information, please contact:

Prof. Mohamed H. Elhoseiny

via email at: mohamed.elhoseiny@kaust.edu.sa,

Subject: COMPUTER VISION – POSTDOCTORAL APPLICATIONS.

Because of the high volume of applications that we receive, only applications submitted through the online Interfolio form will be considered. Please refer to the interfolio links at (http://vision-cair.kaust.edu.sa/vision-cair-apply).

https://account.interfolio.com/login?apply=86108

Next cut-off date for applications: June 30, 2021.

MIT’s McGovern Institute currently has postdoctoral opportunities for soon-to-be or recent PhD graduates in neuroscience, psychology, molecular and cell biology, biological engineering, or a related field. Underrepresented individuals in neuroscience, including, but not limited to women, African Americans, Native Americans, Pacific Islanders, Hispanics, and those with disabilities or from disadvantaged backgrounds are strongly encouraged to apply. MIT is a non-discriminatory/affirmative action equal opportunity employer.

Research opportunities are available in the following research areas: brain imaging, cellular and molecular neuroscience, cognitive neuroscience, computational neuroscience, genome engineering, neuroengineering, neuroethology, and systems neuroscience.

Applications are accepted on a rolling basis.

Please submit the following information to Jill Crittenden at jrc@mit.edu for consideration:

• A curriculum vitae, including a summary of the applicant’s educational and training record.
• Personal statement relating past experiences and career goals; overview of the applicant’s prior research experience; and a list of publications with statements of significance.
• Indicate which PI(s) or lab(s) you are interested in working with and include a statement of your proposed research for the postdoctoral phase.
• Please indicate citizenship status – US citizen/Green card holder or visa sponsorship required.

MIT is an equal employment opportunity employer.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on non-discrimination can be found at https://policies.mit.edu/policies-procedures/90-relations-and-responsibilities-within-mit-community/92-nondiscrimination.

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 45,000 students, more than 7,000 employees and a turnover of around SEK 7 billion.

Project 1: Non-invasive diagnosis of pediatric inflammatory bowel disease using magnetic imaging techniques

Project 2:  Early detection of colorectal cancer using non-invasive, magnetic imaging techniques 

The Department of Pharmacy offers an interdisciplinary environment at the center of the pharmaceutical arena. With frontline research, first-rate education and extensive collaborations we constitute an important driving force in the development of our academic field. In this inspiring environment our rich diversity of research groups, several of international prominence, develop and conduct work of great scientific importance. Among our core competences are in vitro ADME models, enabling formulations, advanced in vivo methods, computational modelling and simulations, as well as patient and societal aspects, from optimizing the use of drugs in individuals to societal pharmaceutical policies. Together, we form a unique cluster of academic competences within pharmaceutical science, playing a key role in shaping the future of pharmacy in both Sweden and globally.

Our scientific focus areas in selection: Molecular Pharmaceutics • Drug Delivery • Pharmaceutical nanotechnology • Pharmacokinetics • Pharmacodynamics • Pharmacometrics • Clinical Pharmacy • Pharmacoeconomics • Pharmacoepidemiology • Pharmacotherapy • Social Pharmacy.

More information at Institutionen för farmaci.

The research group: The PhD students will be linked to the research group Molecular Pharmaceutics. The group takes a multidisciplinary approach and combines computational chemistry and bioinformatics with cell- and molecular biology, biopharmaceutics, pharmaceutics and physical chemistry to find new ways to predict and define rate-limiting barriers to the absorption and organ distribution of different types of drugs. More information at Department of Pharmacy. The position is placed in the research group of Alexandra Teleki SciLifeLab who is associated with SciLifeLab. The overall goal of the Teleki research group is to transform innovative nanomedical approaches to clinically relevant, patient-compliant diagnosis and treatment. The PhD positions are partly funded by the ERC Consolidator Grant MAGNETO that aims to develop a novel diagnostic and therapeutic platform to treat inflammatory bowel disease (IBD) in children.

The projects: The projects are highly interdisciplinary acting at the interface of pharmaceutical and material sciences. The PhD students will work in the area of pharmaceutical nanotechnology with the aim to develop nanomaterials for diagnosis of gastrointestinal diseases. Superparamagnetic iron oxide nanoparticles (SPION) can be used as contrast agents in magnetic resonance imaging (MRI) or as tracer modalities in magnetic particle imaging (MPI). The latter is a novel preclinical imaging technique that produces high-contrast, highly sensitive images with a signal that can be easily quantified. SPION will be produced by flame spray pyrolysis and functionalized with antibodies that are specific to biomarkers overexpressed during disease in the gastrointestinal tract. The disease state can thus be diagnosed and its activity even quantified non-invasively with the magnetic imaging techniques.

Project 1 “Non-invasive diagnosis of pediatric inflammatory bowel disease using magnetic imaging techniques” focuses on diagnosis of pediatric inflammatory bowel disease. Project 2 “Early detection of colorectal cancer using non-invasive, magnetic imaging techniques” focuses on early detection/prevention of colorectal cancer. Both projects will use relevant in vitro cell-based profiling methods as well as in vivo animal models to study the functionality of the magnetic biosensors in the gastrointestinal tract with focus on the respective disease state. The projects are expected to result in orally administered, biocompatible SPION that enable patients to evade the current invasive diagnostic methods and allow physicians to detect, diagnose and determine the extent of gastrointestinal diseases through MRI or MPI. Focus areas of the PhD studies: Pharmaceutical Nanotechnology • Drug delivery • Cell culturing • Magnetic Imaging Techniques • Biomarker discovery • Nanoparticle synthesis and solid state characterization.

Qualifications: Applications from highly motivated candidates are welcome. The successful candidate should have a Master of Science in Pharmaceutics, Chemical/biochemical engineering, Chemistry, Biomedicine or similarly relevant field, and have good communication skills in oral and written English. Previous experience of any of the core subjects are meritorious. The holder of a PhD-student position shall primarily devote her or his time to own research studies. Other departmental work, such as educational or administrative duties, can be part of the position (max 20%). Of time spent on other work duties, the time for research will be extended to correspond to 4 years full-time studies.

Information about postgraduate studies, including eligibility requirements and admission rules, can be found at Doctoral-level Programmes within Medicine and Pharmacy.

How to apply: The application, preferably written in English, is submitted through the application portal of Uppsala university and should contain

• a letter in which the applicant describes her- or himself and indicates the preferred project (Project 1 or Project 2) she/he is interested in, motivates why she/he has applied for the position, states relevant qualifications and indicates research interests and plans for the future.
• a CV including at least two references (phone number and email), and
• copies of relevant certificates, degrees and grades, and copies of your master thesis and other documents, such as publications, that you want to invoke.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Salary: According to local agreement for PhD students.
 
Starting date: 01-08-2021 or as otherwise agreed.

Type of employment: Temporary position according to the Higher Education Ordinance chapter 5 § 7.

Scope of employment: 100 %

For further information about the position please contact: Associate Professor Alexandra Teleki, tel 018-471 4745, e-post alexandra.teleki@scilifelab.uu.se.

Please submit your application by 4 June 2021, UFV-PA 2021/1512.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. 

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Placement: Department of Pharmacy

Type of employment: Full time , Temporary position longer than 6 months

Pay: Fixed salary

Number of positions: 1

Working hours: 100 %

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: ST/TCO tco@fackorg.uu.se
Seko Universitetsklubben seko@uadm.uu.se
Saco-rådet saco@uadm.uu.se

Number of reference: UFV-PA 2021/1512

Last application date: 2021-06-04 Apply here https://uu.varbi.com/en/what:login/type:job/jobID:396476