29 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"O.P"-"Prof"-"UCL" positions at Chalmers University of Technology
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credits or a Master’s degree (magisterexamen) of 60 credits* in Physics, Mathematics, Computer Science, or equivalent Excellent written and verbal communication skills in English Ability to program in high
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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. Preferred skills and experiences: Experience with or knowledge of quantum chemistry and computational chemistry tools. Familiarity with electrochemistry, batteries, and energy storage. Programming skills in
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the Quantum Technology Laboratory (QTL) and the Department of Computer Science and Engineering . AQPL hosts a large part of the WACQT, providing a strong scientific environment with expertise in
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accepted. The following experience will strengthen your application: Experience in microfabrication, electronic-circuit design, realization and its testing; programming in any computer language (Python, C
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First Stage Researcher (R1) Country Sweden Application Deadline 15 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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nanoscience and nanotechnology. The selected candidates are awarded with a PhD position, which they can place at any Nano research group at Chalmers and with which they coordinate their specific PhD program
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Master’s degree (magisterexamen) of 60 credits* in physics, chemistry, or materials science Strong written and verbal communication skills in English Personal competences including the ability to work
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, or Electrical Engineering. Knowledge in applied mathematics is essential, including mathematical programming. You need strong written and verbal communication skills in English. As a person, you are curious and
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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic