206 maynooth-university-programmable-city-project Postdoctoral research jobs in Germany
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University of Greifswald, Institute for Physics, Theory of Soft Active Matter Position ID: University of Greifswald -Institute for Physics, Theory of Soft Active Matter -POSTDOC [#30272, 25/B17
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 5 hours ago
research team. The ideal candidate should have: A PhD/DPhil degree (or comparable) with a background in theoretical physics, applied mathematics or related disciplines from a recognized university; Prior
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
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. For European Union HORIZON Action Grant Budget-Based agreement project PREVENT - Im-proved Predictability Of Extremes Over The Mediterranean From Seasonal To Decadal Timescales - PIK is offering a Junior research
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04.06.2025 Application deadline: 01.07.2025 The chair in Law and Artificial Intelligence at the Faculty of Law at the University of Tübingen, held by Prof. Dr. Michèle Finck currently has one
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and technical infrastructure Opportunity to participate in (international) conferences and project meetings Extensive company health management Ideal conditions for balancing work and private life, as
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appointment period is three-four years for a PhD student, and two years for a postdoctoral position. We offer a diverse work environment in an international team, with lots of interesting projects and
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, depending on the geographical and economic context. It will include a deep dive on the potential of Ukraine to become a green hydrogen hub, leveraging geo-spatial energy models run by project partners. As
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04.06.2025 Application deadline: 30.06.2025 The Theoretical Particle Physics Group at the Institute for Theoretical Physics at Tübingen University invites applications for the position of a
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structured problem-solving Investigating advanced strategies for model adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG