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University of California San Francisco | San Francisco, California | United States | about 1 month ago
/epigenome editing strategies to reprogram human immune cells for therapeutic applications: including cancer, genetic diseases, and neurodegeneration. In this role, the SRA will explore state-of-the-art
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anthropology and biology, genetics, ecology, and human ethology. It studies the ontogenetic and phylogenetic development of humans, evolution, morphological variability of populations, ethnicity, growth
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temperature and pesticides, and recovery from disturbance removal, depends on the populations phenotypic plasticity and/or genetic adaptation. For more information and how to apply: https://www.jobbnorge.no/en
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about this project. Funding Notes We welcome inquiries from: - applicants that have already secured PhD funding - self-funded applicants References https://microbialphysicsgroup.sites.sheffield.ac.uk
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Networks (MSCA-DN) project iSTRIDE (inter-Sectoral Training). The PhD will be in the domain of microbial systems genetics with a focus on developing and applying bioinformatics and AI-based techniques
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commitment, welcomes all to apply including veterans and individuals with disabilities. Minimum Qualifications MD, PhD or equivalent degree Board certified in Pediatrics and Medical Genetics by ABMGG Preferred
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Institute is available at: https://medicine.iu.edu/research-centers/neurosciences Information about the Indiana University School of Medicine is available at: https://medicine.iu.edu Basic Qualifications PhD
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of Medicine is available at: https://medicine.iu.edu Basic Qualifications PhD/MD Department Contact for Questions Uma Sankar, Ph.D. (usankar@iu.edu) Additional Qualifications Postdoctoral training Special
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The Department of Genetics at Albert Einstein College of Medicine (https://einsteinmed.edu/departments/genetics ) was established in 1964 and has a storied history of major scientific
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have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models for Alzheimerâ™s, Parkinson, and Dystonia as well as to identify novel