54 communications-"https:" "https:" "https:" Fellowship positions at Harvard University
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portfolio, create synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https
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of Earth and Planetary Sciences celebrates the multiple dimensions of diversity that each member of our community offers, including diversity of background, perspective, and lived experience. We strongly
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the following materials through MathJobs.org: https://www.mathjobs.org/jobs/list/28786 Application materials required: • Cover letter. • Curriculum vitae. • Research statement. • Names and contact information
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goals on our lab website (https://hscrb.harvard.edu/labs/arlotta-lab/). In addition, the Arlotta lab is actively working to foster an equitable and inclusive community. Basic Qualifications · Ph.D. degree
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Qualifications Doctoral degree in statistics, biostatistics, computer science, applied mathematics, or a related quantitative field. Excellent programming skills, as well as strong oral communication and writing
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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participating in the development, evaluation, and implementation of task-shared mental health services in primary care settings and other community settings in the United States and globally. Specifically
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on the regulation of medical products by the U.S. Food and Drug Administration (FDA) and the evidence used to support regulatory decisions. Through its Clinical Evidence Evaluation and Communication Unit, the Center
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agencies, investors, pharma companies etc. This role may also provide the opportunity to join a spin-out company as part of the founding team. Learn more about the innovative work here: https
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply