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Field
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-solving skills, and the ability to work collaboratively in a team are expected. We imagine that the successful candidate will have a PhD in neuroscience, medicine, biomedical engineering, physiotherapy
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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
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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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, and functional MRI. As a result, students enrolled in our PhD program come away with the broad conceptual and technical skills necessary to run an independent neuroscience research lab or pursue many
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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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-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. Most teams associate fundamental
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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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Responsibilities Minimum Qualifications Preferences The position is for a highly motivated individual with 0 to 2 years of postdoctoral experience. Candidates should hold a PhD and demonstrate a strong background in
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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