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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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well as inside the candidate's own discipline and should therefore be intelligible to scholars in other fields of learning. Candidates must provide details for two referees who have agreed to submit a reference
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Development Lead. You will be responsible for contributions to a major new programme of research investigating ethical questions and public views concerning research using post-mortem brains. The project
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. The Postdoctoral Research Fellow will: Conduct a programme of research towards achieving one or more these goals. This will include contributing to the design of experiments, growth of the necessary plant material
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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transition is possible, again subject to review. The ideal candidate: The successful candidate will have a PhD or equivalent in a relevant subject to the role. They will also have substantial postdoctoral
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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 close to
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PhD (or equivalent) in food science, nutrition, or a related discipline, with experience in in vitro digestion, specifically using the INFOGEST static digestion model, nutritional analysis (minerals
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Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics