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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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/ 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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, 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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dataset analysis. Developing multi-scale mechanistic or data-driven models of the immune system, with a focus on T and B cell biology. Candidate requirements Candidates must have a PhD in Computational
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/PhD degrees and expertise/experience in bioinformatics, computational biology, computer science, mathematics, physics, and/or statistics are encouraged to apply. Successful candidates will be expected
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. The integration of common data models, such as OMOP, and the use of Electronic Health Record (EHR). Further, the role will delve deeply into Machine Learning, AI, and statistical concepts, applying these skills
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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