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16 May 2024 Job Information Organisation/Company University of Bergen Department Department of Clinical Science Research Field Computer science Mathematics Medical sciences Researcher Profile
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collaboration with a research group at Stanford University and ”System dynamics approach Using Chemical Compounds to Elucidate the Structure of Polycystic Ovarian Syndrome (SUCCESS)”, financed by Novo Nordisk
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of Digital Endocrine Tools based on Digital Twins” in collaboration with a research group at Stanford University and ”System dynamics approach Using Chemical Compounds to Elucidate the Structure of Polycystic
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PhD Research Fellow in cell biology–proteostasis network control of multiprotein complexes lifecycle
11 Mar 2024 Job Information Organisation/Company University of Bergen Department Department of Biological Sciences Research Field Biological sciences Researcher Profile First Stage Researcher (R1
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9 Apr 2024 Job Information Organisation/Company University of Bergen Department Department of Biological Sciences Research Field Biological sciences Researcher Profile First Stage Researcher (R1
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11 Mar 2024 Job Information Organisation/Company University of Bergen Department Department of Clinical Science Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher
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experience/competence: Master standard molecular biology and cell biology methods that are relevant to the research group. Solid experience with CRISPR/Cas9-based modification of human cell cultures
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reaction cells, to investigate changes in organic-inorganic fluid compositions during fluid flow in heated marine sediment, under realistic high pressure-temperature hydrothermal conditions. Reaction
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22 Feb 2024 Job Information Organisation/Company University of Bergen Department Department of Biomedicine Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1
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diseases affect about 10% of the population and can involve almost any organ of the body. Like most autoimmune diseases, autoimmune Addison’s disease is multifactorial, with both genetic and environmental