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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
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activities in circuits of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in computational neuroscience
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of York. Based within the Addictions Department at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), the post-holder will support a five-year programme of research across three priority areas
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diseases by uniting AI and nanotechnology Lead the bio-market via trans-disciplinary convergence in AI, nano-optics, and protein-structural biology Core Technologies: Neurobiology, Neuroscience on proteins
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, performing, analyzing, and writing up to report for publication behavioral neuroscience experiments addressing questions of decision-making in rodents Qualifications Required Qualifications: PhD in
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Experience: Candidate must hold a PhD or equivalent degree in neuroscience, biochemistry, chemistry, molecular biology, psychology, computer science, biomedical engineering, biology, or other relevant
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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of York. Based within the Addictions Department at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), the post-holder will support a five-year programme of research across three priority areas
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Minimum Education and Experience PhD, MD or MD/PhD in psychology, cognitive neuroscience, computational psychiatry, or a related field. Proficiency with programming and data analysis using at least one of
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology