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Biology, or a related field, with a strong quantitative background. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public
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degree in Epidemiology, Biostatistics, Computational Biology, or a related field, with a strong quantitative background. Doctoral dissertation must be submitted for evaluation by the closing date. Only
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Epidemiology, Biostatistics, Computational Biology, or a related field, with a strong quantitative background. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with
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assistant in DNA-based biodiversity analyses is available in the section for Genetics and Evolutionary Biology (Evogene) at the Department of Biosciences, University of Oslo. The position is mainly funded by
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for this job See advertisement About the position We announce a 2.5-year Postdoctoral Fellow position in Computational Biology & Gene Regulation position (SKO1352) in the Haapaniemi (NCMM) & Kilpinen (FIMM
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computer science and biology to medicine and ethics, forming a collaborative environment that will extend your network and expose you to multifaceted perspectives. Your Contribution: Your role will be critical in
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network. A PhD candidate focusing on Digital Twin technology will be appointed and work closely with the appointed postdoctoral researcher. The team crosses disciplines from computer science and biology to
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: Applicants must hold a degree equivalent to a Norwegian doctoral degree in Epidemiology, Biostatistics, Computational Biology, or a related field, with a strong quantitative background. Doctoral dissertation
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degree in Epidemiology, Biostatistics, Computational Biology, or a related field, with a strong quantitative background. Doctoral dissertation must be submitted for evaluation by the closing date. Only
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credentials. Essential qualifications: Applicants must hold a degree equivalent to a Norwegian doctoral degree in Epidemiology, Biostatistics, Computational Biology, or a related field, with a strong