44 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" positions at Durham University
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Senior Manager - Leverhulme Centre for Algorithmic Life ( Job Number: 25001005) Department of Geography Grade 8: - £46,735 - £55,755 per annum Open-Ended/Permanent - Part Time Contracted Hours per
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and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service
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. Verification of these models and algorithms will be conducted using benchmark datasets and real-world tests in diverse aquatic environments, necessitating a willingness to engage in experimental work for real
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process wherever it is reasonable to do so and, where successful, reasonable adjustments will be made to support people within their role. Person Specification Candidates will have completed their PhD
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://www.durham.ac.uk/departments/academic/sport-exercise-sciences. Successful applicants are normally expected to be within 8 years of completing their PhD, although career breaks for parental leave and/or health
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% teaching and 14% administration (Approximately). Successful applicants are normally expected to be within 8 years of completing their PhD, although career breaks for parental leave and/or health reasons will
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, and contribute significantly to the development of PhD programmes. Enhance the School’s commitment to its vibrant and international postgraduate culture. Further key responsibilities – Professor
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first degree and a PhD in Physics or a related subject. Outputs – evidence of high-quality outputs, some of which is recognised as world-class. Candidates are asked to subm it two research papers with
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at an international level. Engage in the mentoring of early career researchers; To attract and provide excellent supervision to research students, and contribute significantly to the development of PhD programmes
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of eight academics with seven research associates and 20 PhD students. We currently have three laboratories to support the work in this area, focussing on Smart Grid and Power Systems Modelling