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specialist knowledge in a relevant subject area. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent communication skills and the ability to work co
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specialist knowledge in a relevant subject area. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent communication skills and the ability to work co
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their career development to establish research independence. For informal enquiries about the position, please contact Prof. Keith Channon: keith.channon@cardiov.ox.ac.uk For more information about working at
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or your viva has been held. Informal enquiries may be addressed to Prof. Tan (email: jin-chong.tan@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us
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well as further information about the university and how to apply. This post is full time and fixed term until 1st September 2027 in the first instance. Only applications received before midday 12:00 on Monday 22nd
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planning and conducting speech experiments and data collection, and highly skilled in linguistic, acoustic and quantitative data analysis. With a strong research record, they will have the ability to manage
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human tumour models including organ/tumour perfusion, slice culture and organoids to ensure data is clinically relevant and to inspire the next generation of effective treatments. The post would suit
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at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
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@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on Tuesday 29 July 2025 can be considered. You will be
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing