146 parallel-and-distributed-computing-phd positions at University of London in United Kingdom
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computational methods (Efremova et al. Nature Protocols, 2020; Jain et al., Genome Biology). About You PhD in a biological or computational subject and background in working with genomics data. About the School
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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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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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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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infection experimental assays and the role will provide opportunities for career growth About You Applicants should have a PhD in a relevant field (or be close to completion) and be able to work independently
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About the Role As a Lecturer on the Digital and Technology Solutions degree apprenticeship programme at Queen Mary University of London, you will contribute to the intellectual life of the faculty
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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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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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to their own research interests. About You Candidates should have a PhD in a relevant discipline or will have obtained it by commencement of the position. Candidates should have some experience in multi
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funded by UK Research and Innovation (UKRI), this programme is part of the government’s strategic effort to position the UK at the forefront of global AI expertise. Our goal is to train PhD researchers