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on dependencies; collaborate with team members to continually improve processes; and communicate features effectively within the team and to school stakeholders. The ideal candidate works best within a team
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu
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at: https://projects.iq.harvard.edu/ultra-qm . Applicants may also be considered for a potential future Gordon and Betty Moore Foundation Postdoctoral Fellowship. This fellowship would provide funding for up
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at finale.seas.harvard.edu and our group’s webpage https://dtak.github.io/ We work on probabilistic models, reinforcement learning, and interpretability + human factors. Basic Qualifications Candidates are required to have
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incorporating technology into instruction. Experience teaching specialized topics (e.g., literature, film, media). Special Instructions Please submit the following materials through the ARIeS portal (https
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(PyTorch) with a drive to enhance these skills. Familiarity with one of the AI/ML fields like Natural Language Processing, Computer Vision, Reinforcement Learning, generative models, or a strong interest in
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in work and campus life free from harassment and discrimination. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://academicpositions.harvard.edu
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the ARIeS portal (https://academicpositions.harvard.edu ). Applications must be submitted no later than March 24, 2026: 1. Cover letter, including a description of the candidate’s teaching and advising
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Details Title 2026-27 College Fellows (in multiple areas) School Faculty of Arts and Sciences Department/Area College Fellows Program Position Description Please visit https
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challenges to global public health. Learn more about MET and their research here: https://www.hsph.harvard.edu/molecular-metabolism/. The lab of Dr. Nora Kory studies compartmentalization of metabolism and