317 computer-science-programming-languages-"St"-"ST"-"University-of-St" positions at University of London in United Kingdom
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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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research programme on infections and brain health funded by the Wellcome Trust. The successful candidate will conduct innovative research into relationships between infections and aspects of brain health
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representing the service at events to raise awareness and recruit new donors to the programme. Referral experience is not a requirement as specialist training and support will be provided. However, experience
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of program training opportunity About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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-on experience with programming, medical imaging, engineering designs, and system integration. Your track record will demonstrate proficiency in the design, fabrication, and pre-clinical testing of innovative
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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expect applicants to possess a broad range of skills needed to teach effectively as well as academic leadership and an effective contribution to programme or department administration or projects improving
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researchers in the preparation and analysis of data. The Research Associate will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science
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their views of our Programme and School. Arranging interviews for applicants with Alumni for defined candidate pools. Building and maintaining good working relationships with Students and Alumni to help with