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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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supervision and training in the use of equipment and techniques. The role holder will isolate and characterise Helicobacter pylori bacteria from tissue samples, and manage a large sample repository and MS
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that the Clinical skills, live animal (small and large), dissection, cadaver surgery and laboratory based practical classes are fully provided for through the provision of materials, advice, and operational support
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analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require
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strategies. The University of Nottingham is leading a large programme grant ‘Public Health Intervention Responsive Studies Team’, funded by the NIHR until 2027. PHIRST-LIGHT is a collaboration between the
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to higher education. You will also oversee a large group of Educational Supervisors, supporting them in their role and enhancing their skills in delivering student feedback. This role represents an exciting
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capability. The ability to manage large research projects and work proactively is crucial. What we Offer The support you need to nurture your talent, develop and reach your professional and personal career
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
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projects in the field of Microwave Process Engineering. Whilst microwaves are invariably used for heating food in the home environment, our team utilise microwaves on a very large industrial scale
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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD