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on track to complete all PhD requirements by the expected start date of October 15, 2026. Demonstrated expertise in modern AI/ML, including deep learning and hands-on experience with frameworks such as
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. ● Demonstrated expertise in causal inference, with interest in methods development. ● Experience with statistical and ML methods, including at least one of the following: Bayesian methods, deep learning
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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
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professional development needs of postdocs by providing reimbursement for activities that directly enhance the individual’s professional growth, and which their PIs or faculty advisors may be unable to fund
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, 2024, or be on track to complete all PhD requirements by the expected start date of October 15, 2026. Demonstrated expertise in modern AI/ML, including deep learning and hands-on experience with
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established focus. Deadline Month: October (LOI) and November (full application) Description: Harvard Brain Science Initiative (HBI) aims to support postdocs who serve as pioneers in their labs by taking on new
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Karen Toffler Charitable Trust (KTCT) Scholar Grant program Eligibility: Early-career investigators (PhD candidates, Postdocs, Assistant Professors). Non-US citizens with a valid US visa are
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addition to the letters of recommendation. Salary Range – Postdocs: $67,600-$80,000 Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship
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will be encouraged to participate in the Harvard and Boston scientific community. Harvard University postdocs are offered competitive salaries and comprehensive benefits packages. Basic Qualifications We
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Medicaid and/or Medicare data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve serving as an author on selected