Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
Start of announcement 21.05.2025 End of announcement 18.06.2025 Institute or department Institute of Coastal System Analysis and Modeling Location Geesthacht Apply now Go to applicant portal
-
, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
-
of the components of the climate system. As a suitable candidate you, have expertise in analyzing complex systems (e.g., using dynamical systems theory, statistical physics) and/or process-level expertise in a
-
talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
-
development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
-
disciplines (typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one
-
significant physical and mathematical components. It is essential that you have the ability to conduct independent scientific research within a collaborative team environment and demonstrate enthusiasm
-
to 2 years; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements
-
14.12.2022, Wissenschaftliches Personal The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics
-
25.06.2021, Wissenschaftliches Personal We are an active and lively research group who is passionate about science. We are working in an environment which may best be characterized by the passion