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You will provide technical support to the Tate Group with a primary focus on running, optimising, and expanding chemoproteomics workflows. You will be responsible for sample preparation and data
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environment, along with excellent organisational and time management skills to manage competing priorities and meet deadlines. You will demonstrate strong attention to detail and accuracy in data entry and
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important structure–activity relationship (SAR) data across a number of different tumor types. The ultimate aim is to derive a number of lead compounds to take forward to advanced in vitro and in vivo studies
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of how dynamic our Division is. Please find further information regarding the division at Research and Innovation: University of Sussex . Why work here Sussex is a renowned, multi-accredited, research-led
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skills are essential, along with a willingness and ability to develop new technical competencies. You should have proven experience working with a variety of computer systems, ideally including Windows and
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academic teams to align marketing efforts with client needs. You will combine strong analytical skills with creative flair, using data to optimise performance and help drive engagement and lead generation in
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experimental and operational data, evaluating machine performance, and preparing high-quality technical reports for industrial partners. The Research Fellow will also be expected to contribute to the wider
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(cardiometabolic) multiple long term conditions and the comparative effectiveness of interventions using secondary, real-world observational data (Clinical Practice Research Datalink, Hospital Episodes Statistics
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people regardless of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives
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Programmes and Stakeholder Engagement Officer serves as a subject-matter expert on the full suite of U21 programmes and member opportunities, using specialist CRM and data insights to support the network wide