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for molecular dynamics (MD), slashing computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with
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Recognised Researcher (R2) Country Sweden Application Deadline 20 Feb 2026 - 22:59 (UTC) Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Demonstrated research expertise related to real-time computer graphics programming
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required. Eligibility A person is eligible for employment as post-doctor if he or she has obtained a Swedish PhD or foreign equivalent at the time of the decision of employment. Individuals who have obtained
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foreign degree in speech technology, computer graphics, machine learning, computational linguistics, or a related area. This eligibility requirement must be met no later than the time the employment
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with geology; Paper writing & conference presentations; Contribution to the teaching of geophysics (up to 4 hrs per week). Qualifications In order to be eligible for employment as post doctor you must
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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 The Department of Ecology, Environment
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. About the research project As a post-doc in this project you will work on application of x-ray imaging towards thermoplastic lignocellulose based materials and be associated to the competence centre FibRe
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will be part of a research team, based in Umeå and Uppsala, for a project funded by VR. The post doc will be responsible for detailed analysis of soil fungal communities, soil organic matter quality
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functional properties analysis. Over time, the post-doc is expected to develop and submit independent research proposals contributing to the scientific direction of Plant Product Quality Improvement division