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and apply advanced analytical frameworks--including geospatial statistics, machine learning tools, air quality modeling, and source apportionment techniques--to interpret air pollution observations and
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into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion behaviour of ablated gases in the atmosphere. Derivation of parameters necessary for the calculation of regional
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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of different medial temporal lobe areas such as CA1, CA3, DG, MEC, LEC, PrC, POR to memory in health, aging and in animal models of amnesia. Memory for time, space and episodes as well as the consolidation and
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-of-the-art in vivo perturbational technologies and advanced computational modelling to solve fascinating biomedical puzzles. This interdisciplinary atmosphere has been a main catalyst for many past successes
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(100%) Published: 26.11.2025 Limitation:Temporary (2 years) Contract:TV-L Your tasks Analyse spatial transcriptomic and image datasets Develop predictive models for diagnostic purposes Design research
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proteome platform, clinical specimens and diverse patient-derived model systems. The successful applicant will also have the opportunity to supervise graduate and undergraduate students, gain leadership
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, the temporal and spatial resolutions of these have so far been inadequate to capture climate extremes. PAST overcomes this obstacle, both from the side of proxy reconstructions and of climate modelling
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute