319 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" positions at University of London
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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approx. 6-month duration) which will be fully funded. You will therefore have the opportunity to develop your skills in this area alongside other experienced Hydrotherapists within the service
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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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position combines academic research with community action, supporting young people to lead peer research into violence prevention and mental health. You'll coordinate a programme employing 10 young people as
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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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with different research expertise and supervising current PhD students in the group. About You Candidates should have a PhD (or close to completion) in mechanical engineering, biomedical engineering or
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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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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work. The candidate is expected to support current PhD students in the group, write and publish research papers. About You Candidates should have a PhD in mechanical engineering, orthopedic engineering
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Behavioural Science group and the CRUK-funded Cancer Prevention Trials Unit (CPTU, Director, Sasieni). About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve