29 science-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Liverpool
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of medicine and therapeutics within the Department of Pharmacology and Therapeutics based in the Institute of Systems, Molecular and Integrative Biology. This programme aims to develop causal inference models
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possible. A Postdoctoral Research Associate (PDRA) position is available in the Department of Chemistry in the group of Professor A Slater (agslatergroup.com). You will join a vibrant and growing team
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discovery are strongly encouraged to apply. You will work within a highly collaborative, interdisciplinary environment that brings together expertise in chemistry, physics, and computer science. Success in
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design. The role will combine experimental plasma science with numerical modelling to understand and improve nitrogen fixation pathways, alongside the use of analytical chemistry methods to quantify
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with ethics protocols. You should hold, or be close to completing a PhD with a substantive life sciences focus; a BSc in veterinary, animal or biological sciences, epidemiology or statistics; and
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Hours of work: Full-time Tenure: Fixed term until July 2027 Professor Sheng Qi’s research group in the School of Pharmacy and Pharmaceutical Sciences at the University of Liverpool develops
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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Hours of work: Full-time Tenure: Fixed term until October 2029 We are seeking outstanding researchers with experience in developing and applying computational chemistry tools to materials discovery
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We are looking for an enthusiastic and highly motivated Postdoctoral Researcher to join our dynamic research team in the exciting, interdisciplinary field of plasma-liquid interaction. This is a unique opportunity to contribute on new horizon research investigating how an optical plasma...
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discovery of a new family of superionic lithium ion conductor (*Science*, **2024**, *383*, 739). You will work within a highly collaborative, interdisciplinary environment that brings together expertise in