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to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as
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of research, you should consider whether this conflicts with your personal values or beliefs. We will conduct a full and comprehensive pre-employment check as an essential part of the recruitment process on all
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discussion about the post, please contact Dr Alexey Koloydenko on alexey.koloydenko@rhul.ac.uk For queries on the application process the Human Resources Department can be contacted by email at: recruitment
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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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of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role is a postdoctoral researcher level and requires candidates to hold a
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commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We
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Process To apply, please submit a CV and covering letter detailing your suitability, on the application portal. For informal enquiries, about this vacancy, please contact Dr Yagya N Regmi on y.regmi
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. Supervising the activities of junior group members / PhD students. Education, Qualifications and Experience Essential Criteria Applicants must have: A PhD in physics or engineering or related discipline, or
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commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer