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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Position Title Post-Doc Research Associate - Center of Excellence for Eating Disorders (CEED) and Carolina Athletics Mental Health and Performance Psychology Program (MHPP) Vacancy ID PDS004696 Full-time
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computational biologist or bioinformatician with strong programming skills and a firm background in microbiology. Candidate should have experience leading projects, writing manuscripts, and contributing to grants
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Previous Job Job Title Post-Doctoral Associate - Computational Health Sciences Division Next Job Apply for Job Job ID 360487 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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Postdoctoral Position in Microbiome, Bioinformatics, and Computational Biology - (250000Y1) The Center for Advanced Microbiome Research and Innovation (CAMRI) within the Institute of Genome Sciences
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the review process. You may upload these documents to the application under CV/Resume. Required education and experience Appropriate PhD in a related field. Physical Requirements Must be capable
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employment may be contingent upon future funding. Required Education and Experience: Appropriate PhD in neuroscience, pharmacology, or related areas. If the degree had not been conferred at the time applicant
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Position Details Position Information Internal Posting? Posting Number SP005014P Position Title Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins Division
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immunofluorescence staining, confocal microscopy, ELISA, WB, and qPCR studies. Preparing cultures of pluripotent stem cells, neural stem cells, various neural cells (neurons, astrocytes, oligodendrocytes) Isolation
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program is to understand the neural circuits that underlie cognitive and emotional behavioral decision-making. Many of our research projects are focused on neuromodulatory circuits such as the serotonergic
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neuroethology and robotics. This position focuses primarily on the neuroethology aspects of our research program, with particular emphasis on understanding the behavioral and neural mechanisms underlying active