569 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Oxford in United Kingdom
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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to the design and analysis of normative frameworks and aggregation rules, and develop scalable solutions for handling ambiguity and incomplete information in stakeholder inputs. About Us The University of Oxford
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for information and advice on writing an effective Supporting Statement. Please do not attach any manuscripts, papers, transcripts, mark sheets or certificates as these will not be considered as part of your
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Licence (PIL A, B & C) to conduct or assist with intracranial surgery in animal models. Assist with obtaining research data, such as immunocytochemistry and microscopy in brain tissue, molecular or chemical
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well as the ability to handle confidential matters with discretion and tact. Further information on this role can be found in the job description. At Saïd Business School we believe in fostering a diverse and inclusive
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partners to design, implement and refine robust MEL approaches across a diverse research portfolio. This will include overseeing systematic data collection and analysis using quantitative and qualitative
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events, familiarity with digital tools for managing datasets, workflows and reporting processes and the ability to support survey design and compliant data collection. The position is full time (part time
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areas of: microorganisms, insects, animals, plants, soils, or a combination thereof. Excellent interpersonal skills, the ability to work effectively in a team and to handle sensitive information
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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, Inequality, and Opportunity. About you You have completed, or be close to completion, of a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field