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, maintaining the University’s record of processing activity and information asset register, assisting with data protection impact assessments and advising staff on how to ensure information held by
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wider teams, to support demand offering support and technical guidance on the build and deployment process. Organise own workload efficiently and plan delivery schedules to ensure that device build
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classical fluid systems and the burgeoning field of active and driven matter and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD
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to placental dysfunction. Part-time will be considered at a minimum of 0.6 FTE. Hybrid working is possible with a minimum of 2 days a week at the office for a 1FTE. You will process and analyse DNA methylation
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process. The position would suit a talented and motivated early career researcher with a PhD in Physical Chemistry or Physics or with ultrafast laser spectroscopy. The following skills and experience
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understanding to reveal the fundamental mechanisms of light-activated processes in plant biology and atmospheric chemistry. Further details of the In Silico Photochemistry Group can be found at www.in-silico
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capabilities/equipment architectures and functions to provide innovative solutions. Expert technical input into specialist purchases, lead on procurement process where relevant, negotiate with relevant contacts
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and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD students or postdoctoral scholars who are comfortable crossing
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outputs based on expert knowledge in area of practice. This role demands a high level of expertise in computer networks, focusing on creating, managing, and optimizing large-scale WAN networks based on SD
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capabilities/equipment architectures and functions to provide innovative solutions. Expert technical input into specialist purchases, lead on procurement process where relevant, negotiate with relevant contacts