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for more information about our research program. This position is an excellent opportunity for a motivated individual preparing for an independent career in Systems Neuroscience or related fields
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together world-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. It is located in
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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Qualifications Experience in electrophysiology and analytic methods for analyzing this type of data. Experience in computational neuroscience and modeling, as well as in the aging brain is desirable. FLSA Exempt
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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
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. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Preferred Education and Experience PhD in biomedical engineering, pharmacology, neuroscience, physiology
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the Colleges of Medicine and Engineering. Applicants must have a PhD degree in Biomedical Engineering, Neuroscience, Biology, Physics, Medical Physics, or a related discipline. In addition, applicants must be
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with robotics researchers and interdisciplinary team members Maintain detailed experimental records and ensure reproducible research practices Required Qualifications A PhD degree in Neuroscience
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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