Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Carnegie Mellon University
- The University of Chicago
- Cornell University
- Purdue University
- Duke University
- Nature Careers
- The University of Iowa
- University of Nebraska–Lincoln
- Arizona State University
- Binghamton University
- Brookhaven Lab
- Claremont Graduate University
- Columbia University
- Fermilab
- Institute for Basic Science
- Pennsylvania State University
- Radix Trading LLC
- Temple University
- The Ohio State University
- University of Florida
- University of Massachusetts Medical School
- University of Miami
- University of Pennsylvania
- University of Pittsburgh
- University of South Carolina
- University of Texas at Austin
- University of Utah
- 17 more »
- « less
-
Field
-
the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
-
the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
-
. Research Statement A description of approaches to working in a diverse community. We ask applicants to share their experiences and/or approaches (past, current, or future) to fostering learning, research
-
work arrangements and paid parental and military leave. Get access to university resources including mindfulness programs, childcare and back-up care benefits, a monthly transit benefit on WMATA, free
-
modeling, multilevel (random effects) modeling, and analysis of data from complex samples Experience with management and analysis of big data Experience with machine learning and related approaches (e.g
-
Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
-
control under high inverter-based resources (IBRs). • Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity
-
learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond. Benefits for FTE Positions The University
-
, towards future colliders. Cutting-edge machine learning developments for classical and quantum computational platforms are pursued in the group to benefit particle physics and beyond. Experience Candidates
-
PhD candidate in the automated detection of measurable residual disease in hematological malignancie
(deep learning, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Strong interpersonal skills Ability to work