282 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" Postdoctoral positions in United Kingdom
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collaborators at DU ES and the industrial partner WLL. Experience conducting quantitative research including fracture data collection, management, and analysis is essential. Excellent initiative, flexibility in
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid
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publication metrics or the identity of the journal in which the research is published. More information is available at: Responsible research assessment - Research - Cardiff University Applications may be
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life and what happens when families are unable to support young people’s digital lives. Responsibilities include: • Supporting and conducting data collection across the research phases
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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opportunities as this is a network grant including external collaborators. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information
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plasticity would be useful but not essential as training will be provided. Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton @eng.ox.ac.uk) For more information about working at
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efficient multi-tasking and maintain accurate and up to date records. In addition, the applicants should have high level of proficiency with computer software related to laboratory research, data presentation
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clinical data from large cohort studies on immune-mediated inflammatory diseases including psoriasis and rheumatoid arthritis. The PDRA will lead on research across all three objectives, taking first
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing