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postdoctoral research associate in the broad area of computational physics (https://charmnet-mmicc.github.io ). The mission of CHaRMNET is to develop novel numerical methods that allow us to overcome the curse
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, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project We will recruit a
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, numerical methods, and Earth system modeling to develop and evaluate a coupled xylem–phloem transport framework that translates multiscale physics into next-generation vegetation model schemes. Key
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, Health Healthcare Management, Health Psychology or related discipline (or equivalent qualification), with experience of complex project management and mixed-method analysis. Ideally with experience in
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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group for the topic area migration, internal border regimes, and bureaucracy at the Ilse Arlt Institute and promote profession-specific research and the development of methods and theories in Social Work
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early detection is a need that needs to be addressed using advanced sensors. The candidate will apply machine learning and IA methods to anticipate the evolution of the discharges. This project aims
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. Candidates are expected to have a strong background in at least one of the following areas: numerical analysis and/or simulation methods for PDEs (in particular finite volume or finite element methods
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14 Jan 2026 Job Information Organisation/Company Academic Europe Research Field Medical sciences » Other Medical sciences » Health sciences Educational sciences » Teaching methods Researcher Profile
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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches