320 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" positions at University of London
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Teaching-Focussed Lecturer in Life Sciences on the Integrated Foundation Year (IFY) Programme at Royal Holloway, University of London. This is a 0.4 FTE position. The well-established and successful IFY
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Programme Admin Officer in the School of Life Sciences & the Environment. The School consists of five departments: Biological Sciences, Earth Sciences, Geography, Health Studies and Psychology. It is
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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Machine Intelligence and Decision Systems (MInDS) group led by Dr Anthony Constantinou, and the Antennas & Electromagnetics group led by Prof Akram Alomainy. The project is funded by the Defence Science and
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researchers and industrial collaborators on the research project. About You The candidate should have a PhD (or close to completion) in a biological, biomedical or closely related science. Previous work
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environment, home to 450 staff, 100 PhD students and 500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and is an internationally
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that changes to mechanical sensing, signaling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University
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About the Role As a Teaching Fellow on the Digital and Technology Solutions degree apprenticeship programme at Queen Mary University of London, you will contribute to the intellectual life
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Materials Science, a large School with 70-80 academics and a similar number of postdoctoral research staff. There are around 1000 undergraduate and taught postgraduate students and 220 PhD students, supported
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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