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analysis of cerebrovascular genetics and multiomic studies. The laboratories jointly investigate the genetic basis of cerebrovascular disorders, including intracranial aneurysms, cavernous malformations, and
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dehydroaromatization. The postdoctoral associate will play a central role in the processing, analysis, and interpretation of X-ray Absorption Spectroscopy (XAS) data collected on metal-modified zeolite catalysts under
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for this Postdoctoral Scholar position, candidates must possess a Ph.D. in Neuroscience or relevant field requires applicants to demonstrate strong research skills, data analysis proficiency, and statistical expertise
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studies will also be considered. Computational methods, content analysis, surveys, and other methods can be used complementarily, but should not be the primary method. Viable path towards access
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
, analysis and dissemination, and project administration. https://www.cpc.unc.edu/about/ Position Summary The Carolina Population Center at the University of North Carolina at Chapel Hill invites applications
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stage of an academic or biomedical research career. Key Responsibilities: 20% – Experimental Research, Project Development, and Data Analysis · Design, plan, execute, and analyze experiments
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Manufacturing Energy Efficiency Research & Analysis (MEERA) Group in
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, Neuroscience, or a related field. Experience with model organisms and/or bioinformatic data analysis is an advantage, but not essential. Willingness to write grants and manuscripts is a prerequisite. Required
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research tasks across graduate students, undergraduate research assistants, and collaborating researchers. Maintain reproducible modeling, simulation, data-analysis, and documentation workflows. 10% – Other
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techniques such as zebrafish microbiota manipulation, molecular biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience