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Field
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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student and PhD projects within the Centre. The postholder will report to Prof Fabio Tosti, Director of the Faringdon Centre, and collaborate closely with the Research Support Unit and Knowledge Exchange
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following skills and experience: Essential criteria PhD qualified in relevant subject area * Knowledge of Raman spectroscopy Hands on experience with fibre optics Commercial/spinout exposure Knowledge
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to external bodies. Applicants will possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related field of study and be able to demonstrate sufficient knowledge
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submit funding applications Who we’re looking for: A PhD degree in biology/biochemistry/computer science/bioinformatics with life science exposure. Considerable programming experience demonstrating
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of inherited heart disease. Candidates should hold a PhD or MD with significant experience in cardiology, and experience in cardiac imaging (Echo andor CMR). A strong track-record of first author and/or senior
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systems onto real robots for tasks such as tracking, 3D reconstruction, object recognition, and visual SLAM. They will be working with a team composed of PhD students, Research Assistants, and Postdocs
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For Doctoral Researcherposition: MSc in Applied Mathematics, Engineering Physics, Electrical Engineering, or related field. For Postdoctoral Researcherposition: PhD in Applied Mathematics, Engineering Physics
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participation in conferences and events. Desirable It is desirable that the candidate has a Masters or PhD in electronic engineering, computer science or equivalent Fluent in Python and Python Libraries: Scikit
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/Z534304/1 (assessed under the ERC Advanced Grant scheme). The ideal candidates will hold a PhD in theoretical/condensed matter physics, with knowledge of non-equilibrium many-body physics and methods