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Field
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(can be concurrent with PhD) Preferred Qualifications: • Experience and expertise relevant to neuroscience, musculoskeletal biology, pain research or genetics/epigenetics/transcriptomics. • Experience
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neuroscience or a related field. Experience of MEG/OPM-MEG acquisition and data analysis is essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential
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proposals and stay current with relevant literature. • Mentoring: Mentor undergraduate students and other early-stage trainees alongside the PI. Required Qualifications • PhD in biology, neuroscience, bio
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Biological Sciences / Neuroscience. Experience in neurobiology or translational neuroscience setting and/or computational biology. Strong communication and interpersonal skills. Time management and
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Requirements: Required expertise includes strong knowledge of sensory neuroscience and expertise in at least one of the imaging methodologies involved in the project (OCT-A, structural MRI, fMRI, dMRI, ASL
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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational
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Qualifications - PhD in neuroscience, computer science, or related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining
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Institute faculty, in areas such as: * Machine Learning and Computer Vision * Natural Language Processing and Data Science * Biomedical Informatics and Computational Neuroscience * Mathematical/Theoretical
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to dissect the molecular and cellular mechanisms underlying human pathologies in fields ranging from cardiovascular medicine to neuroscience, from immunology to cancer and microbiology, with the final goal
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff