14 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Linköping University
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position with strong academic visibility. The work is expected to result in publications in leading journals and presentations at major international conferences in structural biology, computational imaging
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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and written form, is a requirement. Requirements for the position are: Doctoral degree including work in machine learning applied to the life sciences. Experience in large-scale computing and/or
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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Social Robots, which involves several Swedish universities and is funded by WASP-HS (https://wasp-hs.org/ ). The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a
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of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered
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Clinical Sciences (BKV ). MMV carries out research, undergraduate and postgraduate education within Health Sciences. The employment When taking up the post, you will be admitted to the program for doctoral
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groups takes place primarily in an international setting, and short stays of 2 - 3 months at partner institutions are common. The employment In connection with your admission to the doctoral program, your
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induction. You will combine advanced genetic engineering approaches with survival assays, fluorescence-based techniques in fixed and live cells, single-cell sequencing, and computational bioinformatics