728 assistant-professor-computer-science-data-"https:" "https:" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Details Title POST-DOCTORAL FELLOW IN CANCER RESEARCH – SPATIAL BIOLOGY AND PRECISION ONCOLOGY School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position
-
Department of Energy: Oak Ridge Institute for Science and Education (ORISE): Intelligence Community (IC) Postdoctoral Research Fellowship Program Eligibility: U.S. citizenship required; Ph.D
-
and ability to use common hand tools. Strong time management skills. Must have general computer skills including experience with, spreadsheets, word processing and email software packages (Microsoft
-
; support prospect visit follow-up by preparing correspondence, reports, and adding relevant data to the central prospect database. Prepare travel expenses for processing. Assist with the planning and
-
benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
-
, biostatistics, computer science or a related quantitative field Additional Qualifications: · Advanced programming and analytical skills (including R, Python, and SAS or Stata) · Experience with Medicare claims
-
Qualifications A Ph.D. or equivalent degree in computer science, statistics, economics, management science, information systems, operations, or other related quantitative and/or social science domains. PLEASE NOTE
-
statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and
-
. Additional Qualifications We seek candidates who have strong expertise in design in the context of a computational engineering or applied science field such as computer science, applied mathematics, data
-
machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned