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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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Researcher (R2) Country Finland Application Deadline 26 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme
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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster
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qualifications: Experience with VASP and high performance computing Proficiency in programming (Python or C or C++ or Fortran) Experience with developing machine learning interatomic potentials A solid background
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position - biomarker lipid application in
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binding and selectivity manifested in improved separations. Develop and evaluate statistical mechanical and machine learning tools for studying molten salts using the leadership-class high-performance
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understanding of robotic manipulation, and build a record of high-impact publications. Job requirements PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field. Strong
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university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity
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experience of computational chemistry, physics and meteorology are a merit. Finland is a member of the EU, has high quality free schooling (also in English), generous family benefits and healthcare
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the ability to work both independently and as part of a small, close-knit team, as well as the ability to perform fieldwork in mountain forest environments, including hiking on uneven terrain while