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Field
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will have a PhD in a relevant scientific discipline and sufficient specialist knowledge relevant to the project to be able to make a start on day one – we do not expect everyone to have all the skills
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in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in the field of Economic/Human Geography or a related discipline Outstanding dissertation
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prepare, review and refine theories as appropriate. About You You will have or be close to the completion of a PhD/DPhil/DClin or other professional doctorate degree in a relevant subject, (e.g
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
for isomerization in MOFs: https://doi.org/10.1039/D3QI01065A What we are looking for: A PhD in Chemistry, Materials Science, Physics or a related field Experience in python (ASE, scikit-learn, pytorch) is essential
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PhD in Chemistry, Biochemistry or a relevant subject area, (or be close to completion) prior to taking up your appointment. The research requires experience in bottom-up mass spectrometry
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post by January 2026. The Requirements Essential: 1. Qualifications · A good first degree in physics. · A PhD (or be close to submission) in atomic physics or a closely related area
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be discussed. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential Criteria A PhD awarded (or near completion) in a relevant
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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related subject. A PhD (or be close to submission) in Physics, Mathematics or a related subject. Experience Experience in conducting high quality academic research. Strong publication record in peer
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the University consistent with personal needs and aspirations and with the strategic goals of the Institute. To support the development of further research proposals. To assist in the supervision of PhD students