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Medicine at Yale School of Medicine in New Haven, Connecticut. Qualifications Required Qualifications PhD, MD/PhD, or equivalent doctoral degree in any field of knowledge by the start date Strong background
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develop, establish, and pursue appropriate analytical protocols and techniques to support research, including standardized protocols for patient sample flows. You will also develop research questions within
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illness and substance use disorders. Research activities are supported by robust clinical, regulatory, and data management infrastructure and are closely integrated with clinical services, enabling
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omics data, and access, curate and data mine publicly available repositories such as PRIDE. The role will involve close collaboration with research team members to interpret findings, refine analytical
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of analytical and electrochemical tests for new battery electrolyte materials. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Chemistry, Materials
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. The applicant should be holder of a PhD in artificial intelligence/machine learning and possess excellent background in agentic systems, large language models and/or continual learning besides analytical
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cells) and biomaterial characterization. Proficiency in animal handling and/or surgical techniques. Strong analytical skills for processing physiological and molecular data. Excellent verbal and written
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Medicaid and/or Medicare data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve serving as an author on selected
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weekend and/or after normal hours. May travel as required. Qualifications Required Education and Experience: PhD in a related field. No required experience. A Well-Qualified Candidate Will Also Possess
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. The appointee will conduct their analytical work in the Laboratory for Conservation and Science at HKU’s University Museum and Art Gallery, as well as at the Conservation Office of the LCSD, on Chinese paintings