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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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. This effort will be combined with ongoing work in the group on the characterisation and optimisation of the hBN material and defect formation, which we perform in collaboration with a wide group of material
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well as access to the group dedicated computing cluster environment with H100, L40s, and A40 GPUs. This post is funded by the UKRI Future Leaders Fellowship, a flexible long-term public funding scheme
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demonstrate a high level of competence in relevant languages, where appropriate. Previous experience of scholarship within a discipline and chronological period encompassed by the project is essential
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sophisticated conceptual problems relevant to the project. Applicants will ideally demonstrate a high level of competence in relevant languages, where appropriate. Previous experience of scholarship within a
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sophisticated conceptual problems relevant to the project. Applicants will ideally demonstrate a high level of competence in relevant languages, where appropriate. Previous experience of scholarship within a
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demonstrate a high level of competence in relevant languages, where appropriate. Previous experience of scholarship within a discipline and chronological period encompassed by the project is essential
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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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of the project. Applicants should hold, or be close to completion of, PhD in Biology or a related subject. You should have a high level of competence in biochemistry and structural biology as well as relevant
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. R, Stata, Python, or similar). Skilled in writing and/or contributing to high-quality manuscripts for submission to peer-reviewed journals. Demonstrated ability to independently manage research tasks