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position The USN School of Business has three vacancies for 100 % positions as PhD Research Fellows in the PhD programme in Management from 01.01.2026. The positions will be affiliated with one
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for Ethnographic Action Apply for this job See advertisement The position A PhD position is available at the Department of Social Sciences (ISV) , Faculty of Humanities, Social Sciences and Education (HSL), with a
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there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Technology within three months of accession in the position. About the PhD-project Offshore wind energy
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Requirements PhD and/or MD degree in neuroscience, biological sciences or a related field. Experience with mouse genetics/behaviors, electrophysiology, viral vectors, stereotaxic surgery and molecular/cellular
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Requirements PhD and/or MD degree in neuroscience, biological sciences or a related field. Experience with mouse genetics/behaviors, electrophysiology, viral vectors, stereotaxic surgery and molecular/cellular
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projects that leverage our optical expertise to probe brain function Preferred Qualifications & Expertise: PhD in neuroscience, bioengineering, computational biology, or related field At least one strong
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. The employment period will be three years full time, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in
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full-time permanent academic post; you hold a doctorate by the time you take up the role; and you have not held postdoctoral positions to pursue your own independent research for more than three years
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degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on safety or security of ML models. Experience of carrying out both independent and collaborative
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data