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PhD) in a relevant topic to machine learning and/or physical sciences Have experience in developing machine learning tools for scientific research Have an understanding of chemistry/molecular structure
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conferences. Collaboration with an international group of researchers (at the University of Tokyo, Japan). A strong background in a physical science and engineering. A PhD (completed) in composite materials and
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supportive environment. The lectureship programme will provide up to four years WTE post-doctoral training or until CCT is reached, to allow the successful applicant to consolidate their career, develop
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having completed a PhD programme in the last 12 months) to participate in a fixed-term set of projects linked to prostate cancer health services research, with the ultimate aim of strengthening your track
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facilities, and beyond as appropriate. You have: A good honours degree in Computer Science or a related field. A PhD or working towards one in Computer Science or a closely related discipline, or substantial
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the School of Chemistry at the University of Bristol, proudly rated #1 in the UK for chemistry research. We seek applicants who are developing international leadership in their research field, with strong
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university level in subjects relevant to the Engineering Mathematics teaching portfolio. You should have a good honours degree and have (or expect to have soon) a PhD in Mathematics, Computer Science, Physics
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coding languages Knowledge of evolutionary biology, palaeobiology, evolutionary morphology Academic research publication track record compatible with career stage Desirable Experience in computational
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-disciplinary research programme. Experience in synthetic carbohydrate chemistry, bioconjugation, preparation of functional materials and their structural characterization is essential. Experience in microbiology
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consortium meetings and write reports and papers to communicate your findings. You have (or will soon be awarded) a PhD in bacterial genomics/bioinformatics or a related computational subject and would ideally