Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
maturation. Drive translational de-risking by shaping key studies, identifying scientific opportunities, and aligning research efforts with program goals. Collaborate with internal and external partners
-
What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
-
relevant discipline of the humanities or social sciences whose research focuses on Taiwan. Applicants may not be more than five years beyond the receipt of their PhD degree at the start of the fellowship
-
office and 2 days remote. Additional Qualifications: PhD in quantitative methods for social sciences is strongly preferred. Ability to teach, support, and/or train others in analysis, the use of data tools
-
place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer science
-
, and/or scientific/research program management. Alternatively, a master’s degree in engineering or science with a minimum of 12 years of experience in the areas listed above is also acceptable
-
offices. Meets regularly with the Department Head to discuss personnel and participates in the oversite of program and research goals. Maintain frequent communication with various Harvard department
-
opportunity to contribute to leading-edge research at the intersection of applied machine learning and clinical dental practice. As a member of our team, you will help translate contemporary data science
-
humanities or the social sciences (e.g., SJD, EdD, MD, JD, PsyD, ThD). A PhD is preferred. Additional Qualifications Special Instructions Candidates should use the ARIeS application system to provide
-
Details Title OpenDP Research Associate School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area OpenDP Position Description The OpenDP Project at Harvard University