45 algorithm-development-"Multiple"-"Prof" Fellowship positions at University of Nottingham
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detailed analyses, but working closely with Justice Futures and their interest in systems approaches to develop an understanding of the complexity, blockages and opportunities across the various systems
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setting, and what the mathematically necessary assumptions are. There are 2 positions available for this vacancy. The successful applicants will contribute to the development of results in the field
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means the thesis must be submitted by the role’s starting date) in a relevant field (e.g. environmental social science, sustainable development, urban design, human geography, community energy). An
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An exciting opportunity for a Research Associate/Fellow in Behaviour and Evolution is available to work with Professor Andrew MacColl at the University of Nottingham on a Leverhulme Trust funded
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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We are seeking to appoint a Clinical Research Fellow who will have specific responsibility for research and for developing research objectives and proposals for the Digital Cancer Screening Research
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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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Applications are invited to the above role to have specific responsibility for carrying out fundamental and translational research and develop proposals for research projects within the National
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to focus on computational aspects of the project, in particular the creation of numerical bifurcation tools for the investigation of strongly coupled networks with multiple state-dependent delays. We believe