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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
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The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: https://www.eeoc.gov/sites/default/files/2023-06/22
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services (Violence Prevention-Community Support Team) integration, clinical assessments, peer support models, and trauma-informed care. Supports community behavioral health providers to enhance their service
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with mouse cancer models, cell culture, performing immunological assays (e.g., flow cytometry), and participating in cutting-edge technologies such as single cell RNA-seq, TCR-seq, and ATAC-seq. Your
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Location Lexington, KY Grade Level 46 Salary Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
HIV latency models will be used in these studies, including in vitro and ex vivo cellular models of latency and ART-suppressed rhesus macaque models of latency. Tissues (CNS and peripheral compartments
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vivo electrophysiology, RNA-sequencing, biophysical modeling of neurons and computational models of behavior to understand how chronic pain and opioid analgesics alters plasticity in neural circuits, and
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, implementing, coordinating, delegating and evaluating the nursing care of patients in alignment with the professional practice model. Minimum Education Required 2-Year College Degree or equivalent combination
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prospective students and works with eligible students throughout their time at OSU. The Access Adviser utilizes a coaching model to assist students with persistence, retention and achievement goals for DAS and
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-derived motor neurons and Drosophila models. Now, we need a curious and driven PhD candidate to help us analyze these samples using spatial multi-omics. This is a joint project between Prof. Albena