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(or fNIRS) is an optical neuroimaging technique that uses NIR light to image the cortical brain changes of oxygenated and deoxygenated haemoglobin concentrations (HbO2 , HHb). This allows us to identify brain
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information. The work will require programming in languages such as Python, R or, Matlab and will involve the use of neuroimaging software such as FreeSurfer and others. An important focus of the candidate will
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11 Apr 2024 Job Information Organisation/Company University of Oslo Research Field Physics Researcher Profile First Stage Researcher (R1) Country Norway Application Deadline 5 May 2024 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded...
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30th April 2024 Languages English English English Faculty of Social Sciences, Department of Psychology, LCBC PhD fellowship in Neuroimaging Apply for this job See advertisement Job description A 3
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, LCBC PhD fellowship in Neuroimaging Apply for this job See advertisement Job description A 3-year position as Ph.D. Fellow is available at the Center for Lifespan Changes in Brain and Cognition (LCBC
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8 May 2024 Job Information Organisation/Company GIGA Institute-ULiège Department CRC Human Imaging Research Field Neurosciences » Neurophysiology Neurosciences » Neurobiology Neurosciences » Neuropsychology Computer science Medical sciences Engineering Psychological sciences » Cognitive...
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Engineering, University College London (UCL) Project Description: Functional Near-Infrared Spectroscopy (or fNIRS) is an optical neuroimaging technique that uses NIR light to image the cortical brain changes
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. Motor imagery, the mental simulation of movement without physical execution, has been shown to activate similar brain regions as actual movement. This project aims to leverage advanced neuroimaging and
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their development from early childhood to young adulthood. Utilizing a broad spectrum of methodologies, from in-depth behavioural assessments to computer vision, machine learning and neuroimaging
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, or a related field, with familiarity in experimental research and neuroimaging techniques. Skills in data analysis, particularly using EEG, and a strong understanding of cognitive neuroscience principles