182 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at University of Oxford
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determined by the funding available. About you You should hold, or be near completion of, a PhD/DPhil in Molecular Microbiology, Biochemistry, Biophysics or related discipline. You must have substantive
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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be close to completion of, a PhD/DPhil in Structural Biology, Biochemistry, or Molecular/Cell Biology. Experience in protein expression and purification are required for this position. Experience in
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Aldridge research and group here About you Applicants must hold a PhD in synthetic inorganic chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment
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close to the completion of, a relevant PhD/DPhil together with relevant experience, and have relevant experience of chemical and petrological analysis of igneous rock samples. You will possess sufficient
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. It is essential that you hold a PhD/DPhil with clear relation to biology together with relevant research experience in academia or industry. You will have experience with cancer genomics, including
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hypotheses as appropriate, and contributing ideas for new research projects. It is essential that you hold a PhD/DPhil (or close to completion) in a relevant scientific discipline such as molecular biology
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group : here About you Applicants must hold a PhD Inorganic Materials Chemistry or a related area (or be close to completion), prior to taking up the appointment. The research requires experience in
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-responsive molecular machines. The project is funded by the European Research Council. Find out more about the Langton research group at: here About you Applicants must hold a PhD in Chemistry or a related
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challenge. We seek a senior computational biologist to apply these extensive in-house datasets toward the development of novel, domain-tailored machine-learning models and analytical methods. You will explore