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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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processing large amounts of information. For students identified by the system as being totally non engaged, you will also be required to work across multiple platforms and systems to check other sources
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processing large amounts of information. For students identified by the system as being totally non engaged, you will also be required to work across multiple platforms and systems to check other sources
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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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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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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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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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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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skills, ability to engage with a range of different stakeholders, excellent communication skills, ability to manage high level and complex projects / programmes and to manage large and complex budget(s
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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