31 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Helmholtz Zentrum Hereon" PhD positions at The University of Manchester
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to national priorities on sustainable agriculture and Net Zero targets. Furthermore, this project will enable the student to acquire skills in data analysis and visualisation, experimental planning, working
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knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled
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reusable plaque–flow atlas. Key objectives include to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric
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to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric archetypes (e.g. curved vessels, bifurcations, side branches
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, cutting-edge research facilities, and real-world datasets. The successful candidate will work under the supervision of Dr. Steph Flores (steph.flores@manchester.ac.uk ) at the Department of Chemical
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facilities, and real-world datasets. The successful candidate will work under the supervision of Dr. Steph Flores (steph.flores@manchester.ac.uk ) and co-supervised with Dr. Carlos Avendaño (carlos.avendano
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aspects of machine learning. Applications include improving the efficiency of data assimilation methods and understanding why and how deep learning works. Applicants should have, or expect to achieve
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, ion beam transport and detection, laser spectroscopy for atomic and nuclear physics, high voltage systems, and data analysis. The minimum academic entry requirement for a PhD in the Faculty of Science
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and a strong interest in computational modelling and programming. To apply, please contact the main supervisor, Dr. Mara Strungaru - mara.strungaru@manchester.ac.uk . Please include details of your
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(michael.greaney@manchester.ac.uk ) and Dr Sarah Lovelock (sarah.lovelock@manchester.ac.uk ). Please include details of your current level of study, academic background and any relevant experience and include a