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of the following: cancer biology / cancer immunology / epithelial cell biology / evolutionary biology / genomics / statistics / mathematics or machine learning* Technical qualifications: For bench
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close to completing their qualification. They should have experience in systems engineering, simulation, digital modelling, machine learning, artificial intelligence, or digital twin (model, shadow, twin
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experimental and computational candidates for this role. You will have: PhD, or in the final stages of PhD completion in cancer biology / evolutionary biology / cancer immunology / genomics or other relevant
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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. Department: Department of AI in Preventive Medicine. Contact details:Professor Josip Car. josip.car@kcl.ac.uk Location: Guy's Campus. Category: Research. About Us King’s College London is an internationally
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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(R2) Positions PhD Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through
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Vessel Disease group. You will learn and perform physiological assessments including transcranial Doppler and cardiovascular physiology, MRI imaging studies including respiratory gas challenges, as
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genetic correlations, development and evaluation of polygenic scores, and integration of genomic predictors into multivariable and machine-learning prediction models for treatment outcome. Working closely
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Foundation, explores how pathogenic bacteria survive and cause infection. Working at the interface of genetics, chemical biology and machine learning, the team develops small molecules to disrupt key bacterial