Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Susquehanna International Group
- Nature Careers
- Duke University
- The University of Iowa
- Carnegie Mellon University
- New York University
- Purdue University
- The Ohio State University
- The University of Chicago
- University of Minnesota
- University of Nebraska–Lincoln
- University of New Hampshire – Main Campus
- Binghamton University
- Brookhaven Lab
- Cornell University
- Drexel University
- Fermilab
- National Renewable Energy Laboratory NREL
- Northeastern University
- Radix Trading LLC
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of California Irvine
- University of California, Los Angeles
- University of Denver
- University of Massachusetts Medical School
- University of Miami
- University of Minnesota Twin Cities
- University of Texas at El Paso
- Virginia Tech
- 20 more »
- « less
-
Field
-
of physics objects, in detector commissioning and operations, and in the design and development of the detector upgrade. The LPC is also a major hub for Machine Learning developments for particle physics
-
, 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
-
field. Experience: At least three years of strong record of research productivity in machine learning and artificial intelligence. Expertise in AI/ML and interests in business and policy applications
-
-energy impact events using LS-DYNA and other applicable numerical analysis methods/computer simulation codes. Prepare and submit proposals/budgets to acquire new funding. Meet with prospective clients
-
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
-
cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
-
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 Booth is proud
-
, 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
-
-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
-
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