37 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" uni jobs at Nature Careers in Germany
Sort by
Refine Your Search
-
University of Life Sciences Prague and Forests of the Czech Republic). The project is funded by the Interreg Sachsen – Tschechien 2021-2027 programme. As part of the European Territorial Cooperation objective
-
postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https
-
curricula of the study programs of the Faculty of Medicine, as well as active participation in the design of lectures and other teaching formats. The teaching obligation is 9 hours per week during
-
of interdisciplinary imaging of the brain is required for a successful research program, demonstrated by relevant publications and successful acquisition of third-party funding. Collaboration with additional research
-
, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
-
, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
-
, or quantitative behavioral biology etc. The position is intended to strengthen the faculty’s research focus on “Biotic Interactions in the Anthropocene” (https://go.ur.de/biotic-interactions), ideally collaborating
-
the Medicine, Dentistry, and Midwifery degree programs. The successful candidate must have an excellent doctorate, outstanding academic achievements, and experience in acquiring competitive third-party funding
-
developments like the Medical Imaging Interaction Toolkit (MITK, https://www.mitk.org ) Work with diverse medical data modalities, including radiological images, and clinical data, as well as AI-derived models
-
for a candidate with the potential to build a world-leading, independent research program in the field. You will be responsible for appropriately representing the field of machine learning in digital