Sort by
Refine Your Search
-
Communications, 2023). MBD is currently coordinating the EU-funded consortium MiCCrobioTAckle (www.miccrobiotackle.eu/ ), the BMBF-funded consortium PerMiCCion (www.permiccion.de ), and is an active participant in
-
desirable. The appointee will be responsible for coordinating an evaluation study on pharmacy services in primary care using both quantitative and qualitative methods and conducting pharmacoepidemiological
-
., Cell Metabolism, 2023; Leung et al., Science Translational Medicine, 2022; Seelbinder et al., Nature Communications, 2023). MBD is currently coordinating the EU-funded consortium MiCCrobioTAckle
-
the supervision of Prof. Muhammad Ali Imran and Prof Jonathan Cooper, who will act as Line Managers. The project particularly emphasizes ambient and remote sensing techniques, connectivity for healthcare, and
-
Regular/Temporary Regular Job Code 9521 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job Graduate Assistantship, RIDGS Ethnic Studies Initiative (50% Academic
-
of Tübingen. The project is led by Principal Investigators Dr. Marlen Fröhlich, Prof. Dr. Michael Franke (both Tübingen) and Prof. Dr. Manuel Bohn (Lüneburg). The successful candidate will support the project
-
and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on ML-based co-optimization demonstrates some
-
Ability to work independently and collaboratively in a multinational team Experience with EPR spectroscopy or related techniques Background in inorganic, bioinorganic, or coordination chemistry Experience
-
project execution (e.g., contact with study participants, coordinating data collection) Communication with project partners and independent instruction of student assistants Administrative responsibilities
-
Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression