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collaborator, submitting timely data & documents, and purchase chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meetings slides and report in conferences
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on a Wellcome funded project on the impacts of loneliness and social isolation on adolescents. The main duties for this role will be analysing existing large-scale data using complex statistical methods
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lasers and amplifiers would be beneficial for this position. You must have proven skills in the critical evaluation and interpretation of data and of working as part of a collaborative research team. The
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education across disciplines like AI, renewable energy, computer/data science, engineering, building and surveying. Currently, our School of Computing, Engineering & Built Environment are undertaking a
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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and
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under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK
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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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. More information about the research and group can be found here . About you Applicants must hold a PhD in Physical Chemistry, Physics or a relevant subject area, (or be close to completion) prior
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We are seeking a highly motivated researcher to join a multi-disciplinary team to engage with communities and stakeholders to understand their viewpoints on linking health and environmental data