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Field
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Strong quantitative and analytical skills Experience in either experimental neuroscience (e.g., in vivo neurophysiological recordings, behavioral training) or computational data analysis (e.g., spike
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independent research projects, research design, execute experiments, record research findings, analyze data, interpret results, and present them well (analytical and critical thinking is important) 3
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at national/international scientific meetings. 15%: You will also be expected to assist with research grant submissions (NIIH, AHA, industry, etc.) Detailed documentation of analytical procedures and data is
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. Required Education Appropriate doctoral degree Preferred Qualifications PhD in Neuroscience Prior experience with electrophysiology and/or two-photon microscopy imaging Data analytical skills including
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; phenotypic analysis and imaging. Keep organized analytical data of performed experiments and expected to report findings at lab meetings. Acts as a liaison/mentor to technicians, students and other laboratory
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program JOB DESCRIPTION: We are looking for a
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education, quantitative methodology, or related fields (can include time during graduate-level training). • Experience with data analytics and scientific writing skills as evidenced by rigorous scholarship
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Posting Close Date 05/31/2026 Qualifications Minimum Education and Experience PhD or MD in biomedical engineering, data science, computational sciences, neurobiology, psychology, epidemiology, cognitive
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research agenda, including conceptualizing, designing, and leading pilot or secondary data studies in alignment with their long-term career goals. Prepare and submit extramural grant applications, such as