Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Free University of Berlin
- GFZ Helmholtz Centre for Geosciences
- German Cancer Research Center
- Heidelberg University
- Heraeus Covantics
- Katholische Universität Eichstätt-Ingolstadt
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Meteorology •
- Technische Universitaet Darmstadt
- WIAS Berlin
- 9 more »
- « less
-
Field
-
architectures [5] and Neural ODEs [2], creating a cohesive end-to-end hydrological model. Transformers will be utilized to pre-process and analyse the raw input data, capturing essential spatial and temporal
-
Model (RFM) for Germany by deriving and integrating detailed spatial information at the regional scale on flood protection structures (dikes, reservoirs etc.) across major river basins, enabling more
-
, biochemists and technicians. The multidisciplinary research in our group covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiological modelling
-
with five partners. The focus of the doctoral program is the analysis of the spatial and temporal variability of decontamination efficiency in different soil materials on a flow cell scale. The results
-
phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
-
multi-disciplinary approaches to answer these key questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq
-
in ecological or social-ecological modeling (desired) Your tasks Contribute to the assessment of forest adaptive capacity Conduct statistical and spatial analyses to assess adaptive capacity
-
is the role of clouds in the climate system. For this, we apply and develop a wide range of numerical approaches that cover highly idealized heuristic models to very detailed Lagrangian representations
-
phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
-
processes within the soil–plant–atmosphere continuum. Sensing technologies, laboratory, field, and regional-scale experiments, as well as modeling approaches are used to bridge gaps between the different