57 machine-learning-phd-in-denmark Fellowship positions at UNIVERSITY OF SOUTHAMPTON in Uk
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Sonia Coriani at the Technical University of Denmark. The project will seek to develop our understanding of satellite state in TRXPS measurements and how these can be used to track photochemical change
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statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your
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implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
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learning, the topology and geometry of data, or the dynamics of learning. The successful candidate should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated
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the groups of Dr Karl Michael Ziems and Prof Russell Minns with close collaboration with Prof Sonia Coriani at the Technical University of Denmark. The project will seek to develop our understanding
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the next generation of gas turbine engines. Successful candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods
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: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
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cell mechanisms, oversee preclinical validation, and advance CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with
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and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T cell mechanisms, oversee preclinical validation, and advance CAR-iNKT platforms optimised for AML
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to Dr Bismark Singh by email B.Singh@soton.ac.uk . About you The selected candidate is required to have a PhD in operations research, mathematics, computer science or a related area. Experience in