Sort by
Refine Your Search
-
to the success of the whole institution. At the Faculty Physics, Institute of Solid State and Materials Physics, the Chair of Physics of Quantum Materials offers a position as Research Associate / PhD Student (m/f
-
to the success of the whole institution. At the Faculty Physics, Institute of Solid State and Materials Physics, the Chair of Physics of Quantum Materials offers a position as Research Associate / PhD Student (m/f
-
, 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. In the departments
-
environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
-
condensed matter physics. We are looking for highly talented and motivated students from all around the world to join our affiliated research groups. Multiple PhD positions will be awarded on a competitive
-
Water Fluxes. Your tasks Build hybrid models, process-based and deep learning models, to capture ecosystem flux dynamics across space and time Develop generalizable models robust to climate variability
-
PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
-
, each exploring a distinct research direction: PhD position 1: Connected communities. You will expand our newly developed cultivation platform in which multiple bioreactors exchange media but not biomass
-
on model approach to improve vegetation’s impact on energy fluxes and related permafrost dynamics improve the process-based fire model SPITFIRE to better simulate fire effects on tundra vegetation and
-
productivity. Multiple coordinated observing strategies, including research vessels and a large ensemble of autonomous platforms, will collect physical, chemical, and biological datasets across scales