578 parallel-computing-numerical-methods "Simons Foundation" PhD scholarships in Germany
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atomistic simulations, high-performance computing, and the application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in
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Collaborating closely with experimental partners to validate methods and integrate tools into existing workflows Disseminating findings through scientific publications, international conferences, and open-source
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About our group The Laboratory
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reflects the organic pollution load in water. Current COD determination methods are often discontinuous or spectroscopic and impractical for real-time application, limiting their utility in dynamic, data
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Berlin. The position is part of the research group QUALITY.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project “PhytoM” is has
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14 Sep 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Universität Berlin. The position is part of the research group QUALITY.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project “PhytoM” is
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Graduates of the Graduate School for Geoinformatics will apply and develop methods for computer-supported solutions to spatially referenced problems (global, regional, local). They receive specialised
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processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand