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models, drawing from computer vision, natural language processing, and graph neural networks Preparing transparent, interactive data visualizations Conducting statistical analyses Literature reviews
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Health’s Department of Biostatistics is seeking a highly motivated postdoctoral research fellow to pioneer cutting-edge statistical and machine-learning approaches for the analysis and synthesis of diverse
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target trial emulation in combination with advanced epidemiologic and statistical methods to draw inferences from longitudinal data to answer pressing outstanding questions related to the safety and
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Details Posted: 11-Mar-24 Location: Cambridge, Massachusetts Salary: Open Categories: Academic/Faculty Mathematics/Statistics Internal Number: 11093 School: Harvard John A. Paulson School of
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Doctoral Students) at JSU, other HBUCs, and Harvard Chan School. 6. Severe as an instructor for epidemiologic methods and statistical analysis. 7. Mentor predoctoral trainees during their fellowship period 8
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HBUCs, and Harvard Chan School. 6. Severe as an instructor for epidemiologic methods and statistical analysis. 7. Mentor predoctoral trainees during their fellowship period 8. Liaise with Training Leads
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to design, guide, conduct statistical analysis, and interpret multi-omics datasets including proteomics, NGS, and chemical biology data in the context of drug discovery projects. Contribute to the development
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, computer science, applied mathematics, or any related field. Candidates who have a strong analytical background in machine learning foundations, computer vision and perception, statistical learning theory
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of basic research methods and statistical techniques Prior experience in project management and organization Strong cooperation skills and motivation Strong independent motivation, and a desire to see
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
science, mathematics, statistics, or a related field; at least two years of specialized experience with quantitative data analysis, research methods, and/or social sciences research (which may include coursework