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. You will develop good working relationships with other members of the LEIP, DIGIT and the MHG Programme more broadly. About You You will have or be close to completion of a relevant PhD/DPhil, in
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computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as diagnostic or therapeutic agents and research tools. In
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technologies. The research work will be conducted in close collaboration with PhD-students and researchers working with power electronic devices within the competence center for III-Nitride technology C3NiT and
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experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability, and for alloy development and compositional
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for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Physics, Chemical Engineering, and Environmental Engineering focusing on different
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phenotypes, and high-performance computing infrastructure. Applicants must hold a PhD in human genetics, genetic epidemiology, biostatistics, computational biology, or a related field, with a strong
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Master’s degrees (or equivalent) in Computer Science or a related discipline. Candidates at the PDRA level must have recently completed, or be nearing completion of, a PhD in Computer Science or a cognate
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or near completion) in a relevant subject area (including Computer Science, Engineering
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) Application Deadline 27 Sep 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific Advisor: Mónica