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project is time limited and will end on 31/12/2027. Person Specification Essential Criteria: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in Marine
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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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projects with colleagues in partner institutions, and research groups. You must hold a PhD/DPhil (or near completion). You will have extensive experience in live imaging of the spleen using 2-photon
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the mindfulness intervention Analysis of quantitative and qualitative data generated from the project Compiling a report to the funding body at the half way and end of the project Preparing a mixed methods article
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are looking for candidates to have the following skills and experience: Essential criteria PhD in Molecular Biology or a related discipline Experience in advanced cell culture and neuronal differentiation
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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
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set-ups to conduct experiments on magneto-active (viscoelastic) polymers and will work on the integration of the associated software for the Solids Mechanics side of the project under the guidance
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the mindfulness intervention. Analysis of quantitative and qualitative data generated from the project. Compiling a report to the funding body at the halfway and end of the project. Preparing a mixed methods
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, and materials science. The successful candidate will have: PhD in biochemistry, molecular biology, protein sciences or a related discipline. Additional research experience in industry or a post-doctoral
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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