55 computer-science-intern "https:" "https:" "https:" "https:" "The University of Manchester" positions at Linköping University in Sweden
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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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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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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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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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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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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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Norrköping Campus. MIT is an international leader in interdisciplinary, applied research with expertise in visualization, design, computer graphics, and the learning sciences. The research nexus
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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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science or another relevant field Experience from projects in data science Experience working in multinational settings and engaging with international organizations and funding agencies Experience from EU
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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