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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
biological effects, including changes in primary production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold
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production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold conditions are particularly vulnerable, as their
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
biological effects, including changes in primary production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold
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Networks, and ICT Services & Applications. Your role The successful candidate will join the Automation & Robotics Research Group (ARG), contributing to the situational awareness research line for robots and
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. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols for retroviral or lentiviral
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
biological effects, including changes in primary production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend