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/26. Preferred Qualifications: Strong background in algorithms, human-computer interaction (HCI), and software engineering. Experience in robotics systems, interactive or intelligent systems, or AI
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progression. These projects utilize a wide breadth of technologies from single cell sequencing to mass spectrometry to high throughput, quantitative imaging. In addition, we use human genetics, AAV viral
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of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical research in the field of nutrition and health, with
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/26. Preferred Qualifications: Strong background in algorithms, human-computer interaction (HCI), and software engineering. Experience in robotics systems, interactive or intelligent systems, or AI
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remodeler, in immunotherapy response.” This project aims to study the role of ATRX which is SWI/SNF-like ATP dependent chromatin remodeler, has various role in human cancer development and well-studied in
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seeks to serve as an aging, Alzheimer’s disease, and related dementia (ADRD) research hub dedicated to the discovery of neurobiological, cognitive, genetic, lifestyle, psychosocial, and related factors
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Apply now Job no:536491 Work type:Faculty - Other Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Chemistry, Physics, Human Physiology Department: Knight Campus
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and human inner-ear organoid systems. Design, optimize, and evaluate gene therapy strategies, including AAV vector engineering and delivery approaches. Collect, manage, and interpret experimental
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
-lab.med.unc.edu/) has an open position for a computational postdoc to study the genetics of human disease. The successful candidate will analyze response QTLs (expression QTLs, splicing QTLs, chromatin
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RNA sequencing, B cell culture, genetic modification of human/mouse B cells, CRISPR/cas9, sterile technique for mammalian tissue culture with BSL-2+ practices, and ELISA/ELI spot. Bioinformatics