324 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of London
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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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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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. About the School/Department/Institute/Project The Wolfson Institute of Population Health (WIPH) is an exciting and dynamic environment, home to 450 staff, 100 PhD students and 500 postgraduate taught
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For this role you will have a PHD in a relevant discipline (e.g. Computer / Data Science). With an enviable track record of relational database design and implementation (you will be responsible
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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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For this role you will have a PHD in a relevant and appropriate discipline (e.g. Bioinformatics, Computational Biology or Computer Science alongside a track record of working in these environments. Your
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biology, mass spectrometry and in vivo studies. About You The post requires a dedicated, motivated and passionate PDRA with a PhD in a relevant subject. The study requires substantial skills in cell and
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. The successful candidate will have experience of teaching in film and/or television studies at undergraduate level. They should have been awarded a PhD in a relevant field. The appointment will be made at Lecturer
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of Population Health (WIPH) is an exciting and dynamic environment, home to 450 staff, 100 PhD students and 500 postgraduate taught students. It harnesses expertise across a wide range of population-based