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PhD Research Fellow in cell biology–proteostasis network control of multiprotein complexes lifecycle
PhD Research Fellow in cell biology–proteostasis network control of multiprotein complexes lifecycle Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close
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PhD Research Fellow in cell biology–proteostasis network control of multiprotein complexes lifecycle
1st April 2024 Languages English English Norsk Nynorsk English PhD Research Fellow in cell biology–proteostasis network control of multiprotein complexes lifecycle Apply for this job See
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PhD Research Fellow in cell biology–proteostasis network control of multiprotein complexes lifecycle
funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description There is a vacancy for a PhD Research Fellow in cell biology - proteostasis network
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of the European Molecular Biology Laboratory (EMBL) www.embl.de/ . The place of work will be at the Michael Sars Centre. The preferred starting time is May - September 2024. Requirements Research
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biology or must have submitted his/her master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded. Experience from
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degree or equivalent education in biology or must have submitted his/her master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been
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/901760/ and https://www.fhf.no/prosjekter/prosjektbasen/901868/ ) Qualifications and personal qualities: Applicants must hold a master's degree or equivalent education in Aqua medicine, molecular biology
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degree or equivalent education in Aqua medicine, molecular biology, biotechnology or biology. Master students can apply provided they complete their final master exam before 01.07.2024. It is a condition
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master's degree or equivalent education in Aqua medicine, molecular biology, biotechnology or biology. Master students can apply provided they complete their final master exam before 01.07.2024. It is a
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developments in computational biology, machine learning, and artificial intelligence make it possible to learn about these diverse pathways of disease progression from multi-omics data. This goal will help us