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Posting Details Position Information Job Title Postdoc and Graduate Students (Master’s and/or Ph.D. levels) Positions at the Intersection of AI and Neuroscience About the University It’s your time
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. In particular, we focus on spinal sensorimotor circuits and their role in encoding somatosensory input and motor control. We apply a systems neuroscience approach combining mouse genetics, molecular
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(or equivalent) in a biomedical science. Experience in neuroscience and/or immunology is desirable. Project key words Retinal imaging, data-analytics, computer vision, big data Funding The studentship, funded by
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& Integrative Neuroscience (Lab CLINT) aims to advance fundamental knowledge of human brain function and to use this knowledge to help people with psychiatric and neurological disorders. Our research integrates
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, neuroscience, biomedical sciences, or a related field A keen interest in neurophysiology, epidemiology, and the neuroscience of neurological and psychiatric conditions Solid experience in experimental research
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, neuroscience, experimental science, and clinical practice from both institutions. The project will be supervised by Dr Yuzhen Qin, Dr Mario Senden, Prof. Marcel van Gerven and Prof Rainer Goebel. Your research
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or computational neuroscience, artificial intelligence, psychology or a related field. strong programming skills. experience in experiments with human participants is preferred. good analytical skills and a positive
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of the laboratory with their expertise. Education Requirement: Ph.D. in Neurosciences or a closely related field. Required Qualifications: A minimum of one first-author publication. Demonstrated experience with
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Neuroscience are strongly desired. The Incumbent will be expected to perform research, provide university and/or public service, demonstrate professional competency and activity. This is an ongoing recruitment
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Genetics, Neuroscience, Molecular Biology, or Related Discipline. Skilled in conventional molecular methods such as quantitative methods for qualitative and quantitative analysis of gene expression (qPCR