Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
campus for natural and life sciences in Germany, bridging engineering sciences, computational sciences, and life sciences. Heidelberg University invites applications for the following full-time postdoc
-
interdisciplinary teams (engineering, medicine, human factors, computer science) to prototype and evaluate medical support solutions for operational scenarios (e.g., spaceflight missions, remote medicine). Conduct
-
. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
-
in the acquired autoimmune disorder immune thrombocytopenia as well as in inborn errors of immunity. You will conduct research using human blood samples, processing them for imaging flow cytometry
-
: design/engineering of constructs and viral vectors for cellular targeting. Immunohistology: tissue processing and histological preparations for cellular/molecular analysis. Data analysis: proficiency in
-
: Letter of motivation and academic CV Organisational Unit Inverse problems and mathematical image processing is one of the research areas at the Department of Mathematics and Scientific Computing, which is
-
Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 7 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description: The Ulusoy Lab (Parkinson’s Disease
-
conducts research in areas such as energy technology, laser spectroscopy, medical technology, and electronics and systems engineering. The Department is now seeking a postdoctoral researcher to perform
-
Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
-
character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science