740 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions in United Kingdom
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) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or equivalent professional qualifications and experience in a relevant discipline
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statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your
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invited to contact Dr Benjamin Cerfontaine (b.cerfontaine@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or
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26 Sep 2025 Job Information Organisation/Company UK Dementia Research Institute Research Field Neurosciences Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country
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: The Astrophysics and Space Research group at the University of Birmingham (UK) invites applications for a 3-year postdoc position in theoretical high-energy astrophysics. This position will focus on the modelling
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to the development of biomarkers and predictive models. A critical part of your role will be to ensure all data and workflows are reproducible and shareable, aligning with our 'data lake to discovery' approach under
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) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or equivalent professional qualifications and experience in a relevant discipline
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to the development of biomarkers and predictive models. A critical part of your role will be to ensure all data and workflows are reproducible and shareable, aligning with our 'data lake to discovery' approach under
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to the development of biomarkers and predictive models. A critical part of your role will be to ensure all data and workflows are reproducible and shareable, aligning with our 'data lake to discovery' approach under
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for precision targeting of AML, an aggressive leukaemia with poor survival outcomes. Building on strong preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define