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the Emory Oaks program. Emory Oaks is a college autism support program designed for autistic students seeking their degree at Emory University. The Fellow will be tasked with providing Support Navigation
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate
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of cancer. This is a 3-year flexible program with personalized educational curricula and individually tailored multidisciplinary teams of mentors with ongoing research in a variety of pediatric and adult
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proposals. -Other duties as required. Required Education: -Ph.D. in Soil and Crop Sciences, Statistics, Data Science, Computer Science, Agricultural Engineering, or a closely related field. Required Knowledge
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of the BCM program is to prepare our fellows to function as independent scientist-clinicians and to provide an advanced comprehensive training opportunity for fellows to gain competence in adult
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enduring impact in the areas of science, environmental conservation and patient care. Visit Moore.org or follow @MooreFound. The foundation's $185-million EPiQS initiative promotes discovery-driven research
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interventions, implementation science and community-engaged research. The program is enabled by over 35 faculty members at the Yale Schools of Public Health, Medicine, and Nursing, who have an outstanding track
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students. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Bioinformatics, Computational Biology, Computer
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computational methods to analyze clinical data and samples, exploring how respiratory viruses and vaccines influence the development of immune responses. Respiratory infections, such as RSV, are the leading cause