Sort by
Refine Your Search
-
Job Advertisement 2026-03 At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the Department “Modelling of Atmospheric Processes” is available as PhD student
-
components. To strengthen our research group Molecular Modeling / Section III, we are currently looking for a committed PhD Student (m/f/d) to start on 15/01/2026. The position is part-time (TV-L 13, 65%) and
-
integration of the different soil erosion processes on landscape scale. The project “European Soil Erosion Monitoring and Modelling Network for Sustainable Agricultural Land Management” (EUROSION) is an EU
-
for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
-
the lower atmosphere influence the variability and behavior of the upper atmosphere, supported by the analysis of whole‑atmosphere models that span both regions. A central part of the work includes the use
-
algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
-
innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
-
implementation of complex coding schemes (e.g., participation & belonging, inclusion, recognition, justice) in NLP pipelines: from guidelines/definitions to label formats to model and evaluation design. Setting up
-
improvement. The research will analyse results from a coupled hydrodynamic-biogeochemical model, adapted to the eastern German Baltic Sea, and compare it to existing monitoring data on seagrass distribution and
-
metastatic lesions, and how these differences shape varying responses to immunotherapies. To achieve this, spheroid and organoid models will be combined with synthetic biology strategies and state-of-the-art