Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a strong background in this area, as well as a genuine interest in continuing such work
-
website for more information: https://d3.harvard.edu/ . Job Description We are seeking an experienced Agentic AI Product Manager to lead the development, oversight, and optimization of agentic AI
-
(including literature searches and data searches using various sources) Optimize, test, and debug model code Clearly document model development, structure, logic, coding, testing Engage in research
-
, collaboration, and flexibility Enjoy our work, grow professionally, and aim for the extraordinary Learn more about Financial Administration (harvard.edu) and our eight reporting units. (https
-
information: http://www.hbs.edu/information-technology/about-us . Job Description Job Summary: Are you a collaborative, hands-on leader energized by driving technical excellence, vendor management, and
-
. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
-
the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
-
economics and seeking hands-on research experience before graduate school. Research Areas • Tariffs and trade policy • Stablecoins and digital currencies • Optimal policy design in open economies • Broader
-
/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found
-
; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates