Sort by
Refine Your Search
-
The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
-
protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please
-
Programme for Women Professors Leibniz Collaborative Excellence Leibniz Transfer funding programme Selection process Funded Projects Open science OPEN SCIENCE Open Access Open and FAIR Data Citizen Science
-
research projects communication of research results in stakeholder dialogues with industry actors and policy makers Requirements: Master’s Degree or PhD in Computer Science, Physics, Engineering, Mathematics
-
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
-
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
-
Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
of processing steps and results Your qualifications: Ongoing B.Sc. or M.Sc. studies in geosciences, environmental sciences, geography, agricultural sciences, computer science, or a related field at a German
-
as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/
-
. Information on the DFG Priority Program SPP 2322: https://soilsystems.net/ For cost reasons, application documents or extensive publications can only be returned if an adequately stamped envelope is attached
-
Computer Science, Data Science, Physics, Mathematics, Computational Biology, or related fields. Solid experience with Machine Learning / Deep Learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Strong