25 molecular-modeling-or-molecular-dynamic-simulation positions at University of Liverpool
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newly established School of Pharmacy and Pharmaceutical Sciences within the Institute of Systems, Molecular and Integrative Biology, playing a key role in shaping the future of pharmacy education at
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The Crop Genetic Improvement research group at the University of Liverpool is internationally recognised for its research into molecular breeding, trait dissection, and translational crop genetics
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. For related previous research, see: Key responsibilities and duties: ¿ Conduct laboratory-based polymer synthesis and characterisation ¿ Design new materials from a molecular understanding
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in flow cytometry, high-resolution microscopy, and advanced molecular biology, and we are looking for a highly motivated individual. You will be joining the research team of Professor Reinhold Medina
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Dr Peter Mulhair at the University of Liverpool https://www.liverpool.ac.uk/people/peter-mulhair seeks a grade 5 research technician with experience in molecular biology and insect biology to assist
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Greg Hurst¿s lab at the University of Liverpool seeks a grade 5 research technician with experience in insect husbandry, experimentation, and molecular biology to assist in a project exploring how
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these manipulations have on gene expression. This full-time role would be ideal for someone with a strong background in molecular biology in either model organisms or parasites and an interest in epigenetics
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are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical models at many scales including electron dynamics, soft-matter physics, materials
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through interdisciplinary and innovative research. You will join the new School of Pharmacy and Pharmaceutical Sciences within the Institute of Systems, Molecular and Integrative Biology. You will
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(pharmacovigilance). Our previous work has shown that SAVSNET veterinary free-text clinical narratives are a source of real-world pharmacovigilance data. Here we will extend this work by using neural language models