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of the Postdoctoral Fellow positions is to provide individuals, who have recently (within the past 6 years) completed a doctoral degree, with a full-time program of advanced academic preparation and research training
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. Minimum Qualifications: Education: Master’s degree Discipline: Computer Science/ Data Science/ Biomedical Informatics/ Bioinformatics/ Statistics/ Computational Science/ Related computational discipline
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, chromatin-accessibility assays, and related high-throughput methods. - Organize, process, and analyze experimental and genomic data using established laboratory and computational workflows. - Maintain
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CATI lab to monitor phone samples on an ongoing basis. o Manage technology and systems needed for processing data and for tracking/monitoring progress (e.g. SPSS, Excel, Access, SQL, OMR software
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strategically identifying and recruiting program participants, coordinating seamless program operations, and managing comprehensive data-tracking systems. This position is vital to support participant recruitment
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activities and organizational goals. Assists with program administration, including fiscal oversight and monitoring progress toward program objectives. Contributes to the establishment and coordination
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software skills. Preferred qualifications: PhD or MD in Neuroscience, Engineering, Computer Science, Psychology, or a related field First-author publication(s) from doctoral training and a track record of
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genomic and epigenomic approaches. Experience with computational biology, bioinformatics, and/or genomic data analysis. Experience working with human cohort studies and/or animal models. Required Special
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positions is to provide individuals, who have recently (within the past 6 years) completed a doctoral degree, with a full-time program of advanced academic preparation and research training under the guidance
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/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research