19 development-"https:"-"https:"-"https:" "https:" "DIFFER" Postdoctoral positions at Harvard University
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Dana Foundation Professional Development Awards Eligibility: Applicants must be currently affiliated with an academic or non-profit institution in the United States and enrolled in a training
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FAS Office of Postdoctoral Affairs: Postdoctoral Awards for Professional Development (PAPD) Deadline Month: This program is currently on pause. Description: These awards are designed to support the
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-departmental and inter-institutional research initiatives, fellowship programs, research cores, and education and training programs. Spanning about 40 different programs implemented by 50+ faculty and staff
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, such as leptin, have been deeply studied, the majority remain poorly characterized because existing tools are inadequate to study the entire secretome. For this project, we will use newly developed
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funded. The successful applicant will work in Professor Carlos Argüelles’ group on the development, construction, and deployment of TAMBO Phase 1. Candidates with strong expertise in data acquisition
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projects, acquire and analyze experimental data, supervise and mentor undergraduate students, prepare and submit peer-reviewed journal articles, and present their work at professional conferences. They will
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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of support for the career development activities for underrepresented postdoctoral fellows in a degree-granting institution (an institution includes its affiliated graduate and medical schools, hospitals and
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-time Postdoctoral Research Fellow to join the causal inference team supervised by Professor Francesca Dominici. The position will focus on developing and applying novel causal inference methods for large