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11.04.2025, Wissenschaftliches Personal The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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conferences (including presenting your research results) and preparation of scientific publications with Peer-Review Your Profile: Completed university masters degree (physics/chemistry) with a PhD Strong
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23 Aug 2025 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Application
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
at understanding the dynamics of living systems from a physical perspective. The department currently hosts Ramin Golestanian (director), Philip Bittihn (group leader), Suropriya Saha (group leader), and a number of
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++, Rust, or similar languages. CUDA experience is a plus. Passion for interdisciplinary research in an innovative and collaborative environment. Application Process: Submit your CV, cover letter, and
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-3972, who will be happy to help. Our recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future. More information about
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evolution and shell structure far from stability. Your tasks/Main Responsibilities: Assembly, testing, and commissioning of state-of-the-art detector systems and data acquisition (DAQ) componentsExecution
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using experimental data from laboratory setups Validate models through targeted measurements and structured testing procedures Analyse loss mechanisms and system efficiencies under various operating
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), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological