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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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will involve processing medical image data sets, taking experimental measurements of movement patterns in living birds and conducting dynamic physics simulations of locomotion in both living birds and
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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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read the Job Description provided below. If you would like to join our people and share our ambition, we would love to hear from you! Application & Assessment Process: To apply, please submit a CV and
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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. Experience of carrying out empirical research. Essential Requirements As part of the application process, you will be expected to submit your CV and a Supporting Statement (maximum of 1000 words
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participant recruitment, screening, and scheduling in coordination with schools, parents, and relevant community networks. Process and analyse neurophysiological data (e.g. EEG event-related potentials, EMG
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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
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be converted into valuable ingredients with exceptional techno-functional, nutritional, and biological attributes. This process contributes to a more circular economy. The institute is part of