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Summary The Laboratory of Neural Circuit Modulation in the Departments of Neurology and Neuroscience (Dudok Lab) at Baylor College of Medicine is seeking highly motivated and creative scientists
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. The researcher should have expertise in computational neuroscience (both neural modeling and machine learning expertise preferred), non-human animal behavioral neuroscience (rat, multi-site silicon probe neural
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researcher interested in advancing our understanding of the interplay between the immune system and Parkinson's Disease. PhD degree in Neuroscience, Molecular Imaging, or related field and familiarity with
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cognitive neuroscience to jointly try to understand how the brain encodes the mental state of others. To achieve this goal, we conduct various research projects that lie in the relatively unexplored
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. The following education, experience and expertise are required: Higher education and masters degree, preferably in neuroscience/neurobiology Lab experience: histology, immunohistochemistry and stereology
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coupling between these amacrine cells. Required Qualifications: ⢠A Doctorate Degree (PhD, which is completed within the last 3 years) in the field of neuroscience ⢠Previous experience in dual-whole-cell
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, engineering, or computer science You have a PhD in computational neuroscience, physics, data science, or mathematics You have the required social and leadership competencies that allow you to prosper at ETH
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enthusiastic scientist with a high potential for original research. The following competencies and experiences are required/optional: Essential experience and skills: PhD or equivalent degree in natural
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
, US Hiring Range Proposed Start Date 10/01/2024 Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North Carolina
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invites one PhD researcher to join a research project on the use of “low-dose electron microscopy techniques for the investigation of two-dimensional material networks” working under the supervision of Prof