Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Science
- Chemistry
- Economics
- Materials Science
- Mathematics
- Arts and Literature
- Earth Sciences
- Humanities
- Psychology
- Social Sciences
- Environment
- Linguistics
- Electrical Engineering
- Law
- Philosophy
- Physics
- Education
- Sports and Recreation
- 12 more »
- « less
-
(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
-
completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
-
between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
-
Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
-
Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 21 days ago
function using functional MRI or ultrasound imaging. The Max Planck Institute for Biological Cybernetics conducts research that elucidates neurological processes across various organizational scales via
-
Engineering, Applied Physics or related field. Preferred Qualifications Computer programming experience with MATLAB or IDL, C/C++, and Python. Experience with integrating components such motion control stages
-
About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
-
environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
structure engineering and passivation of silicon-based photodetectors [1, 2]. Developments in recent years has been geared toward wafer-scale processing as well as improving the space worthiness of MBE
-
and expertise in brain imaging (MRI), image processing and machine learning. Coordinating projects within the research group, supervising students and writing applications are also included in the role