Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- CNRS
- University of Minnesota
- University of North Carolina at Chapel Hill
- Harvard University
- Università degli Studi di Brescia
- Cornell University
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Forschungszentrum Jülich
- KTH Royal Institute of Technology
- Nanyang Technological University
- National Aeronautics and Space Administration (NASA)
- SUNY University at Buffalo
- University of Luxembourg
- University of Oslo
- Virginia Tech
- Aalborg Universitet
- Chinese Academy of Sciences
- ETH Zürich
- FAPESP - São Paulo Research Foundation
- Faculdade de Ciências da Universidade de Lisboa
- Ghent University
- IMT Nord Europe
- INSA Rouen Normandie
- Institute of Medical Biology Chinese Academy of Medical Sciences (IMBCAMS)
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Johns Hopkins University
- KU LEUVEN
- King Abdullah University of Science and Technology
- National Institute of Advanced Industrial Science and Technology
- New York University
- SciLifeLab
- Technical University of Munich
- Tsinghua University
- Télécom Paris
- UNIVERSIDAD POLITECNICA DE MADRID
- UiT The Arctic University of Norway
- Universidad Carlos III de Madrid
- Universidade de Coimbra
- University of Algarve
- University of California, Merced
- University of Colorado
- University of Graz
- University of Lund
- University of Maryland Baltimore County
- University of Minho
- University of Namur
- Universitätsmedizin Göttingen
- Vrije Universiteit Brussel (VUB)
- Zintellect
- 41 more »
- « less
-
Field
-
areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
-
to provide scalable, faster-than-real-time capable methods and tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This postdoctoral position
-
experimental PhDs and Canon Production Printing to enable data-driven ink optimization. Why Join? Work in the multidisciplinary Processing and Performance of Materials group Work at the forefront of sustainable
-
network optimization for 6G/FutureG wireless networks especially on the Internet of Intelligent Things under the supervision of Dr. Lingjia Liu (https://lingjialiu.ece.vt.edu). Successful candidates will
-
of energy materials Develop and optimize advanced X-ray optical concepts with emphasis on maximizing photon flux, transmission, stability, beam quality, and experimental flexibility Design next-generation
-
of mathematical modeling, with a particular focus on stochastic modeling, optimization and more recently machine learning. Indeed, over the last years, the team’s activity has been marked by a strong shift toward
-
) optimization theory, numerical analysis, and applied mathematics. Our Research Interests: The AI + Quantum Group focuses on the frontier of AI + Quantum—the deep integration of artificial intelligence with
-
symphony orchestra and musical talents from numerous performers across many genres. In 2014, Duluth was voted Outside magazine's best outdoors town in America. Minnesota’s City on the Hill claims 6,834
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
-
Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications