360 computer-programmer-"https:"-"https:"-"https:"-"https:"-"CSIC" Fellowship positions in United Kingdom
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the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous
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. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies. Funded by the United Nation Safe Online scheme
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processes • Contribute to the planning and organising of the research programme and/or specific research project • Knowledge of the protected characteristics of the Equality Act 2010, and how to actively
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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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, 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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, 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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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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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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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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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