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appropriate within the classification level as required. About you a doctorate or PhD in a relevant discipline 2-5 years' experience in bioinformatics with a track record in developing analysis pipelines
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qualifications: PhD in Chemistry, structural biology, chemical biology, or a related field Preferred qualifications: · Ph.D. in Biochemistry and molecular-cell biology with a focus on protein engineering and
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values of diversity and integrity. You may be a great fit if: You are an experienced evolutionary-developmental biologist with a PhD in molecular biology, adept at computational and functional genomics
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researcher with a PhD in molecular biology, cancer biology, microbiology, toxicology, bioinformatics, or a related discipline. The successful candidate should have a strong publication record relative
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: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must be C
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Fellow. The appointee will join the Huws group, focused on sustainable livestock production using the disciplines of Microbiology, Animal Science, and Bioinformatics. The successful candidate will
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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All