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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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atmospheric plasmas are inaccurate and do not produce the correct compositions and energy distributions of expanding flows. The proposed research aims to make a step change in domestic and international
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networks. A key part of this role is related to developing research independence; there are opportunities to receive training and development in key technical skills (e.g., experimental and computational
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administrative tasks in research, teaching and administration. This is part of your personality: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in
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. The Department delivers undergraduate and postgraduate programmes in Sociology, Criminology and Social Work and supports the delivery of a faculty research methods programme as part of the collaborative NINEDTP
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. Experience with CRISPR gene editing, microinjection and/or animal work would also be an advantage. Preferred start date October 2025 - the post is available until September 2029. You should have a PhD or
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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for a researcher interested in parasite biology for a wet-lab based role. Applicants should have (or be close to completing) a PhD in microbiology, biochemistry, molecular cell biology or a related field
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relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural Biology
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and restorative recommendations for institutional strategy You will possess: A PhD in history or a related discipline, or equivalent research experience Experience accessing and working with archival