Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Susquehanna International Group
- Technical University of Munich
- ;
- AALTO UNIVERSITY
- Cornell University
- Nature Careers
- Purdue University
- The University of Chicago
- Carnegie Mellon University
- DAAD
- Duke University
- Imperial College London
- KINGS COLLEGE LONDON
- McGill University
- Radix Trading LLC
- The University of Iowa
- UNIVERSITY OF HELSINKI
- Universite de Moncton
- University of Cambridge
- University of Luxembourg
- University of Minnesota
- University of Nebraska–Lincoln
- University of Tübingen
- Binghamton University
- Brookhaven Lab
- CNRS
- Claremont Graduate University
- Cracow University of Technology
- Drexel University
- Heraeus Covantics
- Leibniz
- MASARYK UNIVERSITY
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Renewable Energy Laboratory NREL
- Northeastern University
- SINTEF
- Technical University of Denmark
- University of Alabama, Tuscaloosa
- University of Antwerp
- University of California Irvine
- University of Cambridge;
- University of Copenhagen
- University of Florida
- University of Lethbridge
- University of Liverpool
- University of Massachusetts Medical School
- University of Miami
- University of Minnesota Twin Cities
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of Newcastle
- University of Texas at El Paso
- University of Utah
- Virginia Tech
- 44 more »
- « less
-
Field
-
Academies of Science Engineering and Medicine Workshops. Selected candidates will have the opportunity to train for publishing in leading biomedical journals and machine learning conferences, networking with
-
) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
-
Europe | about 1 month ago
manufacturing, development of machine learning algorithms and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen
-
capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale
-
(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
-
a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
, machine learning and data analytics, multi-objective optimization, life cycle assessment (LCA), serious gaming, and other participatory research methodologies. Candidates should also demonstrate leadership
-
the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
-
Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative
-
. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence