478 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Technical Leadership Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications Understand AI/ML fundamentals including model
-
. Expected Start Date: Between July 1-Aug 15, 2026. Exact date is negotiable. Contact Information Professor Pragya Sur Department of Statistics Harvard University Maxwell Dworkin 33 Oxford St Cambridge, MA
-
risky. We prefer to use the word “challenging,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role
-
is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
-
Additional Information Standard Hours/Schedule: 40 hrs. per week | Monday - Friday | 8:00 am - 5:00 pm. Ability to work occasional overtime required. Visa Sponsorship Information: Harvard University is unable
-
knowledge of GAAP. Strong command of enterprise resource planning and financial and operational systems. Experience in data management, systems implementation, financial analysis, and redesign of business
-
. Special Instructions To apply, please submit: 1. A current CV, including information about prior teaching experience. 2. A cover letter that briefly describes your teaching background, areas of expertise
-
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
-
familiarity with generally accepted accounting principles is preferred. Must have excellent computer skills including in-depth understanding of, and experience with, databases, spreadsheets, word processing and
-
, methods, and compliance with established protocols. Ensure adherence to all quality assurance, regulatory, and compliance requirements (e.g., IRB, data security, funding restrictions). Guide data collection