27 parallel-processing-bioinformatics-"Multiple" positions at University of Leicester
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Bruker NMR spectrometers with cryoprobes, a Rigaku X-ray diffraction system, multiple robotic systems for preparing crystal screens, excellent computer facilities and a range of AKTA FPLC protein
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(EVs), and cell-free DNA (cfDNA) methylation signatures. Your role will involve the coordination between clinical and research teams, ensuring smooth sample collection and processing. You will also
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research, combining membrane-protein biochemistry, molecular biology, biophysics, genomics, cross-linking mass-spectrometry, bioinformatics, live-cell imaging and structural biology (X-ray crystallography
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processes are followed and be driven to complete tasks in a timely manner in a fast paced environment. Possessing strong communication skills is important as you will also be liaising with multiple internal
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mechanisms/basic science), 24-hour lifestyle behaviours (including sleep, sedentary behaviour, physical activity and interplay with nutrition), mHealth, implementation science, multiple long-term conditions
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discipline such as Bioinformatics, Proteomics, Metabolomics, or Analytical Chemistry, and have a strong track record in LC-MS platforms, particularly with the TQ-XS triple quadrupole instrument. You will bring
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to manage multiple priorities, communicate effectively with diverse stakeholders, and contribute to the preparation of reports and funding applications will be essential. A working knowledge of research
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multiple stakeholders. You will be educated to A-level standard or can demonstrate relevant experience in a similar role. An independent worker who can maintain high standards of work during unforeseen
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behaviour, physical activity and interplay with nutrition), mHealth, implementation science, multiple long-term conditions, physiotherapy or clinical trials. Applicants are expected to be able to demonstrate
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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