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-derived neurons that generalize over different patients. To test candidate intervention strategies that normalize these phenotypes. In addition to these core activities, you will perform bioinformatic
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bioinformatics tools for genome and metagenome analysis. This position will leverage AI, protein language models, and structural predictions to annotate unknown phage and microbe proteins, and create HPC-optimised
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, protocol selection and bioinformatics analysis, we hope to enable world-leading research. You can find more information at ngisweden.scilifelab.se . The employment will be placed at the Department
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. We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities. The Research Computing team at the University of Leeds
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are generated in mammalian development. You will be responsible for carrying out experiments designed to advance specific semi-independent projects using a range of different techniques. You will have a degree in
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individually, make a real difference. The role We are seeking a proactive and skilled Bioinformatics Scientist to join our Faculty on a fixed-term basis to provide maternity cover until the 12th June 2026
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physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
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are these impacted by different land use scenarios? How can we use machine learning to predict soil microbiomes from either pristine or agriculturally used soils, predict their functional capacity (e.g. carbon storage
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responsibilities The post holder will be responsible for teaching and research in the field of bioinformatics, across programmes. You will contribute to the design and delivery of learning and teaching materials
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is an experimental biology laboratory whose object of study is the cell, the fundamental unit of life. The 15 teams at the LBMC include in their research different aspects of cellular life such as