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network data science algorithms for mining molecular multi-omics and medical data to improve multiple tasks of precision medicine and discover new precision therapeutics. The successful candidates will work
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programming and algorithm development, with proficiency in Python, Perl, C/C++, or Java, and statistical computing using R Demonstrated experience in designing, training, validating, and deploying machine
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mathematical statistics, machine learning, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research
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therapeutic vulnerability. The successful candidate will work collaboratively with dry-lab scientists within the team of Maria Secrier (Dept. of Genetics, UCL), to formulate hypotheses which they will then
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continue within their current group. We are particularly interested in candidates whose work focuses on the biology of cardiac ageing(e.g. epigenetic mechanisms), genetics of cardiomyopathy, or novel
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animal, age, religion, creed, genetic information, marital status, sexual orientation, gender identity, protected veteran status, honorably discharged veteran, member of the military, or immigration
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, sensory disability, use of a trained service animal, age, religion, creed, genetic information, marital status, sexual orientation, gender identity, protected veteran status, honorably discharged veteran