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Field
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/structural biology sample preparation and data collection Proficiency in Linux command line usage and cryo-EM processing software Experience in prokaryotic (E.coli) cell culture Experience in eukaryotic (e.g
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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learning and software engineering skills to develop the data analysis protocols for collection of data and quality assurance; the processing and analysis of the data (e.g., multivariate analysis and/or
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ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics
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for Human Genetics. You will play a central role in an interdisciplinary research programme investigating how immune mechanisms contribute to psychiatric and neurological disorders. You will play a central
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry
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: Relevant domain knowledge relating to cardiac electrophysiology Excellence in Python software development for scientific computing A strong knowledge and experience of database software including SQL Prior
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About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
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) a PhD in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field. Strong programming skills and experience in machine learning or statistical
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) for Wi-Fi. You will join the team of Dr Junqing Zhang in the School of Computer Science and Informatics at the University of Liverpool. The project will focus on innovative and practical radio frequency