313 data-"https:"-"https:"-"https:"-"https:"-"INESC-TEC" Postdoctoral positions in United Kingdom
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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of researchers together with an integrated academic and industrial project team to develop new learning and to disseminate the project findings. For more information about the Research Assistant (grade 5) please
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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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and interpretation of ancient genetic data from human skeletal material in order to explore genetic diversity within Britannia, alongside genetic kinship and relatedness within cemetery populations
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controllers. Practical experience in system modelling and simulation tools such as MATLAB/Simulink. Exposure to AI/ML techniques, particularly as applied to sensor data, diagnostics, or control optimisation
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. It is situated in the Big Data Institute on the University’s Old Road Campus, giving it ready access to major medical research institutes such as the Clinical Trials Service Unit, the Oxford Centre
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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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commencing 13th April To avoid disappointment please apply early, should we find a suitable candidate we will close the advert. For more information about out benefits and working for the University please
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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