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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
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regional ocean/ice/biogeochemistry models (OBMs) applied to Arctic coastal seas, the properties of terrigenous sediments are rarely integrated into physical and biogeochemical processes. To address this gap
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: • Foundational research on large-scale / foundation models and agentic architectures for autonomous social-science reasoning and planning. • AI Social Scientist / AI Historian research: causal reasoning methods
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26956 Mathematical Modeller (PhD/Postdoc) – DFG Emmy Noether Project “OpTBtreat” (m/f/d
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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experiments in gelatine (https://doi.org/10.5194/egusphere-egu25-9211). This model will be tested with analogue experiment results from the MAGMA Lab, run by other members of the project team. The second