292 phd-rehabilitation-engineering-computer-science positions at University of London
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regional leadership in the area. They will support the Unit’s high- performance computing facility–Uganda Medical Informatics Centre(UMIC) project. The post-holder will develop and implement bioinformatics
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Knowledge Transfer Partnership (KTP) funded by Innovate UK. This collaborative project, undertaken by Royal Holloway University of London and Eden Research plc, aims to advance innovative seed technology and
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! Are you a highly skilled learning systems administrator with a passion for educational technology? We're looking for a dedicated and proactive Learning Systems Administrator to ensure the seamless operation
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biology, detailed knowledge and laboratory experience in molecular biology, in particular familiarity with DNA isolation, PCR genotyping, ONT-based NGS sequencing and analysis with relevant computer and
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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View All Vacancies Department of Biological Science Location Egham Salary £74,753 per annum pro rata - including London Allowance This is the expected starting salary for this post however
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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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communication, work on own initiative and as part of a team and have a flexible and professional attitude. Good organisational, planning, numerical skills and computer literacy are essential. Desirable qualities
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access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here This is a unique opportunity to help build a first-of-its-kind cancer AI development