Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- NEW YORK UNIVERSITY ABU DHABI
- Aalto University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Indiana University
- Aarhus University
- Mathjobs.org
- Purdue University
- SUNY University at Buffalo
- Technical University of Denmark
- AALTO UNIVERSITY
- Duke University
- EPFL
- ETH Zurich
- Lawrence Livermore National Laboratory
- Michigan State University
- Nanyang Technological University
- National Renewable Energy Laboratory NREL
- SciLifeLab
- Texas A&M University System
- UNIVERSITY OF HELSINKI
- University of Graz
- University of Helsinki
- University of Maryland, Baltimore
- University of Oklahoma
- University of Texas at Austin
- University of Utah
- Xi'an Jiaotong - Liverpool University
- Aalborg University
- Aarhus University (AU)
- Argonne
- Bilkent University
- BioBuilt Technologies
- Chalmers University of Technology
- City of Hope
- Florida Atlantic University
- Forschungszentrum Jülich
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- Heidelberg University
- King Abdullah University of Science and Technology
- McGill University
- Meta/Facebook
- NIST
- OsloMet
- Pennsylvania State University
- Queen Mary University of London
- Simons Foundation/Flatiron Institute
- Stanford University
- Technische Universität Dresden (TU Dresden)
- Tehran Institute for Advanced Studies, Khatam University
- Texas A&M University
- The Ohio State University
- University of California, Merced
- University of Central Florida
- University of Copenhagen
- University of Delaware
- University of Lund
- University of Luxembourg
- University of Miami
- University of Minnesota
- University of Nebraska–Lincoln
- University of Oslo
- University of Wisconsin Madison
- Vrije Universiteit Brussel
- Westlake University
- 55 more »
- « less
-
Field
-
. Familiarity with uncertainty modelling, stochastic programming, robust optimization, or real-time decision-making. Interest in quantum computing or quantum-inspired optimization methods. Good programming skills
-
. The department has an active research community with strengths in computational biology, bioinformatics, machine learning, optimization, scientific computing, statistical data analysis, and topological
-
downstream statistical inference. · Developing and implementing computationally intensive algorithms using high-performance computing (HPC) clusters. · Managing and analyzing multiple large
-
to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering
-
communities. Qualifications required PhD in one of the following fields: electronics and embedded systems, telecommunications, industrial computing, electrical engineering or equivalent. Expertise in the
-
applications to scientific computing. Topics of interest include Hamiltonian simulation, open quantum system dynamics, quantum state preparation, and quantum algorithms for optimization and sampling
-
welcome but is not required. Relevant areas may include, but are not limited to, probability and stochastic analysis, optimization and operations research, statistics, dynamical systems and control
-
interdisciplinary research project at the intersection of spatial computing, AI, and surgical education. This one-year position will focus on the research on next-generation educational technologies for
-
learning, optimization, scientific computing, domain sciences, and high-performance computing. The candidate will have opportunities to work with world-class computing resources, including ORNL’s
-
management, execution orchestration, and optimization across quantum and classical computing resources. Conduct hardware-software and application-system co-design by considering interactions among