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Committed to equality and valuing diversity. Application Process You will be required to upload an up-to-date CV and a supporting statement as part of your online application. Your supporting statement must
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). If you have queries about the application process, please contact Megan Norkett (hr-team@psychol.cam.ac.uk ). Please quote reference PJ46816 on your application and in any correspondence about this vacancy
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with experimental collaboration to uncover complex biological mechanisms. Our interdisciplinary work draws on statistical physics, applied mathematics, and close ties with experimental labs. Current
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and
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good understanding of key legislative and process frameworks and/or industrial technology and approaches. Experience Essential: E1 Sufficient depth of relevant research experience appropriate to an early
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Mines de Paris, Université Marie et Louis Pasteur, Rheon Labs, ANSYS, and the National Physics Laboratories. The PDRA will also attend national and international conferences to develop experience and
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the risks. You will have: a PhD in one of the relevant STEM disciplines, such as mathematics, statistics, computer sciences, theoretical food, ecological or physical sciences, etc. skills in mathematical
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Mines de Paris, Université Marie et Louis Pasteur, Rheon Labs, ANSYS, and the National Physics Laboratories. The PDRA will also attend national and international conferences to develop experience and
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great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 181466 . You will be required to upload your curriculum vitae and a
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vulnerabilities (including to security and privacy) that may be introduced when AI is used to process data from wearable devices such as ‘smart glasses’. The project involves academics from Universities