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Field
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biomarkers and patient cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc
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evidence. · Investigating new ways to robustly and reliably evaluate domain-specific IR and RAG approaches to ensure that methods align with user expectations and preferences. · Collaborating with
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desirable) Interest or experience in Earth system modelling, remote sensing, and/or machine learning Ability to work independently and collaboratively in an interdisciplinary environment High proficiency in
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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evasion mechanisms of pathogens. This project directly aims at tackling this question and will be done in collaboration with the Link laboratory. The core of this work will be to screen bacterial libraires
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dedicated to advancing cognitive robotics. The network trains early-stage researchers to develop robots that can interact, learn, and adapt in real-world environments while ensuring quality, safety, and
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or functional properties. Collaborating closely with experimental partners to integrate decision-making algorithms into real scientific workflows. Publishing results in high-impact machine learning and
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Description This doctoral position is part of GRAIL ("Gamma Radiation from the Atmosphere for Investigation and Learning"), a prestigious Horizon Europe Marie-Skłodowska-Curie Action Doctoral Network (MSCA-DN
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optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences
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Collaborative Research Centre 1748 ‘Principles of Reproduction’. The CRC 1748 involves scientists of the University of Muenster, the University Hospital, and the Max Planck Institute Münster as well as scientists