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Institute for Occupational Safety and Health (NIOSH) Total Worker Health® Center of Excellence. The Center’s research focuses on policies, programs, and practices that improve working conditions and support
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modeling or geospatial/temporal data analysis Causal inference ● Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative
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Affairs at Harvard University: Fellowships Deadline Month: January and December Description: The Center's programs and projects offer a variety of both pre-doctoral and post-doctoral research fellowships in
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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Institute for Occupational Safety and Health (NIOSH) Total Worker Health® Center of Excellence. The Center’s research focuses on policies, programs, and practices that improve working conditions and support
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position for a recent college graduate interested in preparing for graduate school; we have a strong track record in preparing research assistants to matriculate in competitive PhD programs and support them
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. Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models. Strong programming skills in Python and experience building and maintaining research code. Demonstrated
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background in statistical programming (competency in STATA, R or SAS) and a basic understanding of econometrics or statistics is strongly encouraged. BA or BS, preferably in the field of specific research
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reimbursement to support continued learning, and more. We also support your physical, financial, and mental well-being through generous time off benefits, gym reimbursements, and other programs offered through
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skills: Programming experience in Python and/or R and analyzing NGS/proteomics data is required. Full time, post-university research experience is strongly preferred, however exceptional candidates with