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applications to external bodies. We’re looking for a highly motivated scientist with: A PhD in Physics, Chemistry, or Biochemistry. Proven expertise in Raman/IR spectroscopy & machine learning classification
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Partnership Training (APT): A programme of work to co-design and evaluate the effectiveness of training a person with aphasia and their communication partner to communicate better together” (NIHR Number: 208121
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therapeutics or extracellular vesicle therapy development. Essential criteria: Have or be about to obtain (must be obtained within 3 months of commencement of employment) a relevant PhD in a biomedical field of
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will undertake original research of international excellence. It will be key that you prepare your work for publication in leading journals and contribute to its distribution at national and
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are looking for a Research Fellow to work in the area of
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work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through
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of the analysis of precision livestock technology data and epigenomic data and communication of results through scientific publications and presentations at conferences. The applicant must have a PhD (or be very
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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
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across the CAVD through mentoring and sharing expertise. About You Essential Knowledge, Experience and Qualifications You should hold a PhD (or equivalent) in glycobiology, structural biology, virology