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Technician or Postdoctoral Fellow/Associate. Department Specific Criteria Must demonstrate a robust background in data science and machine learning, encompassing the application of statistical methods
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artificial intelligence, machine learning, deep learning, natural language processing, and generative AI, as well as emerging areas such as agentic AI systems, low-code/no-code AI platforms, and responsible AI
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, JR102161] Application Title: Postdoctoral Researcher in Quantum Algorithms and Quantum Information Science for Quantum Field Theoretic Applications to Condensed Matter, Nuclear, and High Energy Physics
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11.12.2025 Application deadline: 15.02.2026 The Faculty of Science at Tübingen University invites applications for a W3-Professorship in Machine Learning in Physics at the Department of Physics (m/f
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, and MR spectroscopic imaging using machine learning; candidates with experience in these areas are encouraged to apply. PREFERRED QUALIFICATIONS: APPLICATION PROCEDURE: Apply online at https
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[map ] Subject Areas: High Energy Physics / BSM , BSM new physics , Dark Matter , Electroweak Symmetry Breaking , Experiment , Experimental , Flavor Physics , Higgs physics , LHC , Machine Learning
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underlying various biological networks. The systemic dynamics team aims to develop digital medicine for sleep disorders based on health-wearable devices via mathematical modeling and machine learning. In BIMAG
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predictive modelling; Bioinformatics and Knowledge Graphs (visualization and reporting); AI-based data integration across cohorts (with federated machine learning); Contribute to ongoing projects, such as: o
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, and written communication skills evidenced by a publication record in the area of control theory, mathematical optimization, AI, or machine learning. Preferred Qualifications: Publication record in
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of this postdoctoral position falls within the scope of the ANR project 4DPlants (https://4dplants.icube.unistra.fr/ ) funded by the French Ministry of Higher Education and Research, which involves