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., undergraduate and graduate students) Qualifications A PhD in a relevant discipline (e.g., Rehabilitation Science, Physical Therapy, Occupational Therapy, Kinesiology, Neuroscience) with a thesis related to
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25FA0114 Posting Open Date Posting Close Date 01/05/2026 Qualifications Minimum Education and Experience Candidate(s) must hold a PhD or MD degree in Psychology, Cognitive Science, Neuroscience or relevant
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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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large EHRs, claims, or omics datasets. Ability to conduct research independently and within a team. Minimum Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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Neuroscientist, Clinical Psychologist, Medical Doctor, and Neurologist. The successful applicant should have a PhD in Cognitive Neuroscience, Cognitive Psychology, Experimental Psychology, Neuropsychology, or a
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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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of sensory neuroscience and expertise in at least one of the imaging methodologies involved in the project (OCT-A, structural MRI, fMRI, dMRI, ASL). For a competitive application at the post-doctoral level
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer