364 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" Fellowship positions in United Kingdom
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conferences. About You You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have
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, interpretability and cognitive modelling of language models. The group is part of the UCL ELLIS Unit and has links to the UCL AI Centre and UCL Computer Science. About the role The postholder will carry out original
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, experimental psychology, computational neuroscience, or a closely related discipline. Strong experience in the acquisition, preprocessing and analysis of EEG data, including spectral and aperiodic EEG measures
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are to communicate with any internal or external parties to ensure project deliverables are met. Any other ad-hoc duties as assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in
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place to work. The strategic vision for the Department includes a growth plan of over 50% over the next five years, with a significant enhancement of the research challenge portfolio and a drive to
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offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence
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Applicants must have a PhD in Epidemiology, Health Informatics or Applied Data Science, and an a high level of relevant postdoctoral research experience in applied health research, good experience of data
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will play a key role in the research, development and industrialisation of high-energy-density battery technologies, supporting programmes that align with WMG's strategic research themes including
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from new computational techniques and data sources and from being in CEENRG, a major interdisciplinary research centre with a critical mass of researchers in this research area of cleantech, industrial
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diagnostics and therapeutic stratification in lung cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will