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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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equipment to conduct the research proposed. Strong interpersonal and communication skills. PhD in a relevant discipline. Successful applicants often have experience bringing in research funding and typically
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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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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