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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 21 hours ago
are seeking a talented doctoral student and a postdoctoral researcher. Your responsibilities will include: Building stoichiometric / kinetic metabolic models of selected microorganisms. Applying various
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on formal verification and reachability analysis using logical zonotopes, with applications in digital circuit verification and model checking. Candidates should have a strong mathematical background and
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research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
, contributing to the functional interpretation of genetic variants and the modelling of immunopathological pathways. The position will be closely integrated with other computational biologists
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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22.04.2022, Wissenschaftliches Personal The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics
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extension of ZMT entitled ‘Modelling socio-economic dimensions across Tropical Coastal Ecosystems and the Earth System – TropEcS’ aims to link the existing research capacities of ZMT in the fields
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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addition, our company medical service and an experienced social counseling team are available to assist you on site FLEXIBILITY: Flexible working time models, including options close to full-time ( https
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aspects of modern ML systems. Current research directions include the ERC Consolidator Grant CollectiveMinds, which explores how multiple smaller models can collaborate, adapt, and forget outdated knowledge