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Field
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alongside guidance from senior research personnel. Key Responsibilities • Experimental Design: Develop and optimize behavioral and physiological paradigms targeting brain networks. • Data Collection: Conduct
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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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FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications Core competencies: • PhD in operations research, applied mathematics, industrial engineering, or related fields • Strong
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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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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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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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. 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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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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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