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position with experience in physiologic signal processing (e.g., EEG) and statistical/machine learning methods. The applicant would be joining the lab of Dr. Jennifer A. Kim MD-PhD, which focuses
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of their PhD). Appointments are available to start in Winter 2024 (January 1, 2024 or sooner). This is a multi-year position for individuals seeking to become independent scientists in: (a) Digital psychiatry
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and perform hands on experiments and maintain detailed documentation Qualifications: Must have a PhD in a field applicable to cancer research and associated experience in a health-related area such as
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, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data
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development, data verification and oversees compliance with information security etc. 3. Designs data architecture, establishes data dictionaries, uses statistical programming and transitions old databases
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, there are multiple opportunities for translational research. Qualifications: PhD, MD or MD/PhD in neuroscience, neuroimaging, statistics, psychology, engineering or a related field is required. Previous experience
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/ Qualifications: Qualifications required are a PhD in statistics or biostatistics or relevant areas, a strong background in statistical methods and programming, and good writing and communication skills. Prior
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of molecular biology or immunology and the biomedical sciences in general. A demonstrated success as a recent PhD graduate, with ability to or strong interest in applying single-cell multi-omics and statistical
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serious mental illness and its etiology. A doctoral degree is required (MD or PhD). Ideal candidates must have a strong interest in psychosis and a record of clinical work and some publication in the area
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quantitative and programming abilities (ideally Python, MongoDB, and web technologies), along with an interest in applying these skills to problems in immunology. A PhD in a quantitative discipline