420 parallel-computing-numerical-methods-"Simons-Foundation" research jobs in Germany
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Application Deadline 20 Oct 2025 - 10:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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qualified skills highly pursued by key technological players worldwide. The consortium of MATCH doctoral programme represents a multidisciplinary and intersectoral team with vast experience in training and
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methods on identical locations, to investigate their structural, morphological and functional properties. Able to work independently, in a team and collaborate with other researchers and mentor junior
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Dissemination Platform), as well as diverse central units (ROOTS Academy, Reflective Turn Forum, Methods Nucleus) to collectively pursue a research agenda targeting key parameters of socio-environmental
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Deadline 19 Jan 2038 - 03:14 (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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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 2 months ago
Temporary Job Status Full-time Hours Per Week 39,20 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A25-28 Is the
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knowledge and experimental experience in X-ray photoelectron spectroscopy Suitability to work in a radiation protection area Ideally, experience with further methods in the field of surface characterization
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background in Statistical Mechanics and to mostly focus on analytical work and the development of novel quantitative methods for active matter, and to a lesser extent, on computer simulations of active fluids
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-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative