990 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" research jobs in United Kingdom
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and team, please visit our homepage: https://sites.google.com/view/pierregermainmaths/main . As a team, we value a positive, inclusive, and respectful work environment. In our regular group meetings, we
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projects of the MQS group. Our recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. We also have activity in quantum optics, so
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research team on the Leverhulme Trust project Explicating Singularity Resolution: From Black Holes to Quantum Cosmology, led by Dr Karim Thebault (https://philosophyofphysicsbristol.org/explicating
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to undertake analyses of neuroimaging measures, apply machine learning approaches to clinical and neuroimaging data, the development of clinical services, the conducting of meta-analyses, and the analysis of pre
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a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-10144. To apply, please upload a current
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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area. You will possess sufficient specialist knowledge in the discipline of neurodiversity to work within established research programmes. An experience in engaging in Human-Computer Interaction (HCI) based
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with interdisciplinary collaborators. This project aims to improve how muscle signals can be used to control external devices, with a focus on making such systems faster to learn, more reliable, and
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568 ). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite