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research environment (or a higher, preferably research, degree). Experience with Active Directory and/or LDAP. Experience with parallel file systems, particularly GPFS is an advantage. Experience of using
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demonstrable and successful track record of independent and collaborative problem solving and who can foster a culture of team work, whilst being able to support and develop continuous improvement to process and
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awards. The role will also involve working in partnership with finance and planning colleagues in the annual tuition fee setting process. To support a culture of excellent service provision and continuous
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may apply stricter criteria to certain nationalities that may be over-represented in Singapore. As part of the offer/nomination process, The University of Manchester will select the most outstanding
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the Senior Department Administrator and will be part of a busy team ensuring the efficient running of departmental and School processes. The role requires collaboration and liaison with the Head/s of
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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: michael.sherratt@manchester.ac.uk During the selection process application details will be shared with No7 Beauty Company / Boots. General enquiries: Email: People.recruitment@manchester.ac.uk Technical support
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methods to address some of the most challenging problems in the field of mixture analysis. In many areas (e.g. chemical process development, quality control, food science, metabolomics) the majority
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processes that can be targeted to develop new treatments against brain tumours that form in individuals with the rare disease NF2 schwannomatosis. The successful candidate will join the lab of Prof. Kevin
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aware that such screening will take place, and agree to take part in the process. Funding period: 36 months Start date: As close to 1st January 2026 as possible As an equal opportunities employer we