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analysis of new and existing large-scale wearable sensor datasets. There will be exciting opportunities to recruit participants and support collection of new wearable camera and accelerometer datasets with
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and demonstrated experience in cognitive neuroscience research. Experience with fMRI and behavioural data collection and analysis, with setting up and managing large databases, and knowledge
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/ computational biology / life sciences discipline, or relevant field such as computer science, mathematics or statistics. You will have substantial experience in the analysis of large datasets, which will allow
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to Good Clinical and Laboratory Practice standards, HTA guidelines and MHRA regulations. You will use a large variety of techniques from classical and molecular microbiology and handling and analysis
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Service and Reporting Specialist, this role requires both technical expertise and business analysis skills to identify requirements, design solutions, and drive continuous improvements in IT service
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relevant experience in clinical research and data analysis. You will have previously contributed to academic publications and/or presentations. Excellent communication skills are essential, including
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assays, cell culture techniques, and biological data analysis. You will possess strong organisational skills with the ability to manage resources, time, and priorities effectively. You will have highly
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of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand scale while making use of sophisticated phylogenetic methods (for example
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-funded Strategic Longer and Larger (sLoLa) research programme entitled “An integrated analysis of S-acylation dynamics and its importance in cell physiology.” This collaborative, multidisciplinary project
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primarily on structural analysis of protein complexes and will best suit a candidate with a PhD and relevant experience in protein biochemistry and structural biology, specifically cryo-EM/ET. The second post