460 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Oxford
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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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About the role As a system administrator, you will play a critical role in supporting, maintaining and developing the computer systems upon which all the Department’s IT operations depend. Your work
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administrative activities. You will adapt existing and develop new scientific techniques and experimental protocols, test hypotheses and analyse scientific data from a variety of sources, and review and refine
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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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communication skills, including the ability to write text that can be published, present data at conferences, and represent the research group at meetings. This full-time post is available immediately and is
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commercial awareness and business acumen. A collaborative team player, you will work effectively with both internal and external stakeholders to deliver tailored solutions. Further information on this role can
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learning new systems and technologies. Further information on this role can be found in the job description. At Saïd Business School we believe in fostering a diverse and inclusive work environment where
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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