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all requirements listed here: https://www.mn.uio.no/english/research/phd/ Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system English
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molecular biology and analytical chemistry. Depending on the interests of the successful candidate, the position may also include opportunities for teaching, community outreach, and collaboration with
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quantitative data using statistical software such as R or SAS and going through the code and analytics with senior biostatisticians. Conducting literature reviews. Conducting qualitative research interviews and
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undergraduate students. For further details on our laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You should have a PhD related to Electrical Engineering or Materials Science, ideally with
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expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data management, and other analytical techniques, including technical methods of extraction and analysis, is
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(https://www.urv.cat/en/ ). The School of Chemical Engineering of the URV is in Campus Sescelades, Av. Països Catalans, 26, 43007 Tarragona. You will find more information about working at URV and the
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qualified in relevant subject area Ability to work as part of a team to collect research data in patients Strong analytical and technical skills (e.g. in MRI physics, AI, image processing or reconstruction
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for a motivated PhD candidate to join our team at the University of Oslo for the project: DC14 - ESKAPE pathogen adhesion to cells and implant surfaces Supervisors Dirk Linke: https://www.mn.uio.no/ibv
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the workplace. For more information, visit: https://www2.aston.ac.uk/about/inclusive-aston Guidance on AI-Assisted Applications While we cannot prevent applicants from using AI tools to support their application
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data on cardiometabolic traits and diseases for publications. He/she must demonstrate relevant experience with the first-author papers/manuscripts. Applicants must hold a PhD degree in genetics