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; An inspiring academic and international work environment in the heart of Amsterdam; An enthusiastic and professional academic team. This is where you will be working This PhD position is part of an NWO
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spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology park, in a
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Gipsa-lab is a joint research unit of the CNRS (French National Centre
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 12 days ago
of German is advantageous but not required Willingness to participate in multi-day marine research cruises and international field campaigns Further Information We offer We offer Excellent research
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internal erosion and pipe progression in clay-sand layered dikes. Derive constitutive modelling approaches from high-fidelity DNS-DEM data generated within the broader project consortium. Capture the multi
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Excellent possibilities for further professional development and education; An inspiring academic and international work environment in the heart of Amsterdam; An enthusiastic and professional academic team
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Multi-Scale Comparisons of Patterns of Concerted Activity and Causality in Cortical Neural Activity Shape the future
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots