611 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" positions at University of Oxford
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initiative to find solutions to problems, or to progress key tasks. They will have an excellent standard of computer-literacy, and will have the ability to handle numerical data with confidence and accuracy
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it is imperative that samples are promptly received and processed in a timely and rigorous manner, and all data and methodology is recorded in an organised and precise manner electronically
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Institute for Applied Data Science and Professor of Evidence-Based Medicine. The position will suit a highly motivated Executive Assistant with strong organisational, administrative and senior-level PA and
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demonstrable molecular biology skills. You will be able to design the experiments, execute the experiment using various molecular biology techniques, and help analyse the data. You will have highly effective
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team working skills. Informal enquiries may be addressed to Prof Ioannis Havoutis (email: Ioannis.havoutis@eng.ox.ac.uk subject tag [PDRA Robot Scouting]) For more information about working at
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the ability to design and manage independent research, analyse and publish complex biological data, and work effectively within a collaborative team environment. An interest in translational science and drug
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environment, along with excellent organisational and time management skills to manage competing priorities and meet deadlines. You will demonstrate strong attention to detail and accuracy in data entry and
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a grant for living costs. Awards are made for the full duration of your fee liability for the agreed course. For more information and details on how to apply please visit the Oxford-Taiwan Graduate
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on patient perspectives and aims to understand the information older people need about the harms and benefits of prostate specific antigen (PSA) testing (ProsDetect II). The second project addresses challenges
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Bath to ensure real-world relevance. The DPhil The specific focus will be refined with the successful candidate. You will use a combination of methods (e.g., systematic reviews, secondary data analyses