250 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" "Dr" uni jobs in United Kingdom
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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Mathematics (2+2, 4+0) and BSc (Hons) Statistics (2+2, 4+0) and have active and cutting-edge research in mathematics and its applications in computational mathematics and simulations, applied mathematics
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About us You will be part of an active research programme in the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering at King’s College London. About the role We
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning
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conditions. The position is funded through a UKRI Future Leaders Fellowship awarded to Dr Eder Zavala: “Developing a mathematical and computational framework for digital endocrinology”. The work will build
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About the role We are seeking a highly organised and proactive Project Manager to lead the delivery of an innovative and complex clinical research programme at King’s College London. This role will
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or computer science, or a related discipline (or equivalent experience). A doctoral level qualification involving methodologies deploying advanced statistical, mathematical or algorithmic techniques, or directly
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conditions. The position is funded through a UKRI Future Leaders Fellowship awarded to Dr Eder Zavala: “Developing a mathematical and computational framework for digital endocrinology”. The work will build
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an exciting opportunity to work at the interface of neuro-oncology, nanomedicine, and translational cancer research, contributing to a programme with clear clinical relevance and long-term vision
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medical school in Carlisle. Our unique four-year graduate entry programme, launched in August 2025, aims to fully support and prepare students for the demands of learning, assessment and their ongoing