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Field
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Duties The responsibilities may include some but not all of the responsibilities outlined below. Implement and test different Artificial Neural Network (ANN) architectures, such as convolutional and
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the British Geological Survey and a variety of external project partners. There will be travel opportunities to work in-person with this network of collaborators, as well as for presenting the research
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a role model and fostering an inclusive working culture. Interact with both academic and industrial collaborators in the project teams, and building internal & external contacts and networks Help with
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site, selected by low-income low population density neighbourhoods and related to Primary Care Networks. The fieldwork for this role will be based in the North East and North Cumbria region, exact
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and deploy the most promising prototypes at multiple field sites around the world via our global collaborator network. An important part of the work will be publishing high quality research papers in
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internal and external networks of researchers to foster research collaborations, to identify and deliver common research objectives and to generate income. You will also lead the development of knowledge
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maritime logistics network. You will assist in the planning, coordination, and execution of the project, manage research resources, and contribute to the dissemination of research findings through
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Townsend, and gain exposure to a national network of academic and industry experts shaping the future of smart shipping and maritime decarbonisation. As a university, we are committed to creating
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. Experience in commercial CFD package such as ANSYS package is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT, Meshing tool and post-processing software
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, clear career progression, and strong institutional support for researchers. Opportunities for professional growth, including access to international research networks, interdisciplinary collaborations