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Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher in Neuroimaging of Language 0.8 FTE, 2 years Leiden University Centre for Linguistics (LUCL
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Postdoctoral Associate in Neuroimaging Required Qualifications: (as evidenced by an attached resume) ● Recent Ph.D. degree (or foreign equivalent) in Biomedical Engineering, Medical Physics
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Postdoctoral Associate in Neuroimaging Required Qualifications: (as evidenced by an attached resume) ● Recent Ph.D. degree (or foreign equivalent) in Biomedical Engineering, Medical Physics
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The...
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The...
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neuroimaging frontier! Job description Understanding how the brain works is one of the most profound scientific challenges of our time. To that end, the development of new imaging methods is one of the most
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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: Computational Neuroimaging Group • Expected start date: Immediate The employee must comply with the center's operating rules in terms of dedication, duties, working hours, and vacations. Candidates
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neuroimaging methodologies. Project title: “Sweet-taste blocking compounds to address eating behaviour: towards functional psychotherapeutic foods” Funding: MICIU / AEI / 10.13039/501100011033 and FEDER, EU
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disorder. This project investigates early neural markers of psychosis by integrating multimodal neuroimaging with genetic and transcriptomic data and applying machine-learning approaches to identify