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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
for applying, and fit to the position CV (incl. list of publications) Names and email addresses of at least two references The application portal will be open for 6 weeks from 1st September – 12th October
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with growing Marchantia polymorpha. See the job description for the full list of selection criteria. Informal enquiries should be directed to Prof Francesco Licausi (francesco.licausi@biology.ox.ac.uk
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to upload a supporting statement (maximum 1 page), a CV (including a publications list), and a statement about your (past, current, and future) research interests (maximum 3 pages), and to provide details
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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. The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching
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pass in selected local stores, or online by using any of the listed discount codes Childcare services - We offer excellent childcare services including five University nurseries as well as University
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and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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the CYCLONE team, whilst managing and prioritising elements of an ambitious list of interesting and impactful objectives. This post offers an outstanding opportunity to advance the Research Associate’s
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managing and prioritising elements of an ambitious list of exciting and impactful objectives. This post offers an outstanding opportunity to advance the Research Associate’s career in the area of attribution