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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
Postdoctoral Research Associate to focus on computational neuroscience. Minimum Education and Experience Requirements PhD or MD. Required Qualifications, Competencies, and Experience Advanced knowledge
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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Biomedical and Health Sciences is seeking a highly motivated Postdoctoral Associate in the Clinical and Affective Neuroscience Lab (Lab Director: David Zald, PhD), housed within the Center for Advanced Human
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engineering, neuroscience, computational biology, or a closely related field ï‚· Strong oral and written communication skills ï‚· Demonstrated motivation, initiative, and attention to detail ï‚· Deep interest
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strong background in circuit neuroscience but will also consider scientists with a strong computational preparation and some neuroscience background. Prior experience with connectomics data
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animal-based neuroscience research, and ideally, in vivo microscopy (in vivo cranial window imaging in the project with be done in collaboration with Drs. Alex Lohman and Grant Gordon). The successful
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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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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, pharmacology, or neuroscience), at least two years of experience leading or co-leading research projects involving human subjects, and a strong record of research productivity based on publication history