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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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to understand representational drift and inter-areal communication in the brain. We use a combination of in vivo calcium imaging and Neuropixels recordings as well as computational modelling techniques
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-scale genomic and phenotypic datasets (e.g., PheWAS, statistical genetics, prediction models) Analyze high-dimensional data from biobanks and clinical information systems Contribute to teaching activities
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modelling photonic devices and physical reservoir computing systems. The activities within the project will benefit from synergies with other projects in the group as well as with other activities
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international flavour and has partnerships with more than 70 universities worldwide. (https://www.tu-dresden.de/ ) The Institute of Aerospace Engineering is comprised of 4 chairs: Space Systems, Flight Mechanics
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, including experiments at the local tandem accelerator facility as well as at national and international research infrastructures (https://ikp.uni-koeln.de/groups/wimmer/join-us ). YOUR TASKS » Participation
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Your Job: In the CrowdING project, you will develop agent-based movement models that realistically simulate different behaviors such as lining up, overtaking, or pushing. Based on this, you will
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models. Expected Results: Ability to assess the influence of demise process on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion
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-climatic Extremes (GENAI-X)«, funded by the Carl-Zeiss-Stiftung, addresses a fundamental AI challenge: achieving robust model generalizability in non-stationary environmental systems. Focusing on hydro