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researcher to join the research lab of Joan Asarnow, PhD & Jocelyn Meza in the UCLA Semel Institute at the junior or mid-level rank. We are looking for an enthusiastic, resourceful, and dedicated investigator
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alongside longstanding regional partner organizations in Kenya. Qualifications: Expertise in a relevant discipline (e.g., epidemiology, ecology, nutrition, economics) with PhD conferred by the start of
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research project and/or group. Plans and delivers technical workshops for faculty, PhD students, and research professionals. Uses subject matter and best practices knowledge to perform lab and/or research
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Education/Experience PhD or MD in Microbiology/Immunology, a basic science field, or a related discipline. Must have teaching and research experience with a well-documented publication record. All degrees
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in the same fields with five (5) years of experience, OR PhD in the same fields with two (2) years of experien. Willingness to occasionally travel to customer sites, conferences, and offsite meetings
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on software, statistics, and research methods Compile and organize links to online statistical and research methods resources for trainees and faculty researchers Required Qualifications PhD by time of
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the broader community. You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in
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of experience; OR PhD in the same fields with five (5) years of experience. You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond
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Candidates must have a PhD and proven research experience in computationalanalyses, statistics, mathematical modeling, or engineering. Prior experience inophthalmology research is not required. Preferences
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organizations to understand research requirements and review protocol implementation. Qualifications: (1) PhD in MR physics or engineering, (2) expertise in MR system hardware and software usage, application and