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(multivariate classification and/or computational modelling) to carry out fundamental science research in the Woolgar lab. The ideal post holder will have prior experience with acquisition of fMRI and/or MEG data
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visas on the UK Visas and Immigration Website . This exciting position in computational biology combines the development of novel computational methods involving control theory with practical systems
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in Python, working with high-performance computing clusters, and implementing reproducible research workflows. The position requires expertise in prokaryotic genomics, strong statistical and
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Transport (DfT) under the UK Shipping Office for Reducing Emissions (UK SHORE) programme. In partnership with M3MAS Limited, Wightlink Limited, Ameresco Limited, Southampton Solent University, and Supply
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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multiple sclerosis under different treatment exposures. You will contribute to delivery of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across
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research programme on “Enabling consumers to make healthy financial choices”, focusing on how technological and organisational solutions can improve financial literacy and decision-making. This post, under
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’ programme grant. Find out more about the research and group at: About you Applicants must hold a PhD in Physical Chemistry or a related area, (or be close to completion) prior to taking up the appointment
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: Relevant domain knowledge relating to cardiac electrophysiology Excellence in Python software development for scientific computing A strong knowledge and experience of database software including SQL Prior