726 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions in United Kingdom
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engineering and have or be in the process of obtaining a related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
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life cycle analysis methodologies. Proficiency with modelling and simulation software relevant to TEA and LCA. High analytical ability to analyse and illuminate data, interpret reports, and bring new
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the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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data. Apply knowledge in a way which develops new intellectual understanding. Contribute to developing new models, techniques and methods as required by their research project. Present research outputs
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-photon calcium imaging and virtual reality in awake behaving mice. Analyse in vivo large-scale two-photon calcium imaging data sets combined with behavioural data (pupil diameter, speed, motor movements
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Location: University Park The Nottingham Transportation Engineering Centre (NTEC) is seeking a highly motivated Research Associate/Fellow for a full-time position in the high-resolution chemical
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executive and public education on nature-positive mining and mineral extraction About you We are looking for an Innovation Fellow with interest and experience in the ecology and biodiversity of human-impacted