Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- CNRS
- Delft University of Technology (TU Delft)
- NEW YORK UNIVERSITY ABU DHABI
- Nanyang Technological University
- Nature Careers
- Northeastern University
- Oak Ridge National Laboratory
- Stanford University
- Technical University of Munich
- Universidade de Coimbra
- University of Lund
- Auburn University
- Bilkent University
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Grenoble INP - Institute of Engineering
- Institute for Basic Science
- KU LEUVEN
- Lodz University of Technology
- Lunds universitet
- NIST
- New York University
- Simon Fraser University
- Tokyo University of Agriculture and Technology
- University of Bergen
- University of Hamburg
- University of Idaho
- University of Kansas Medical Center
- University of Pennsylvania
- University of Primorska
- University of Southern Denmark
- University of Texas at Austin
- University of Vienna
- Université libre de Bruxelles (ULB)
- Washington State University
- Wydział Matematyki Fizyki i Informatyki UG
- Örebro University
- 27 more »
- « less
-
Field
-
, discrete/combinatorial optimization, optimization modeling, etc., including their applied fields) Teaching and research guidance for subjects related to the above specializations within the Graduate School
-
—such as bent, plateaued, and almost perfect nonlinear (APN) functions—and the design of linear codes with prescribed properties useful for cryptography, including minimal, self-orthogonal, LCD and optimal
-
which 37 are Faculty members and 50 PhD candidates. Work tasks/research field We are seeking a candidate with a strong research profile in combinatorial optimization who can contribute to excellence in
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will work on some of the fundamental combinatorial problems within
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will work on some of the fundamental combinatorial problems within
-
date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
-
Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
to the rapid exploration of novel materials chemistries—such as compositionally complex energy materials—using high-throughput, combinatorial synthesis strategies. The position involves working
-
modeling, power/performance optimization, and energy-aware scheduling; Knowledge of optimization methods (e.g., convex optimization, combinatorial optimization, reinforcement learning) for energy management
-
equations, non-linear analysis, graph theory, combinatorial optimization using metric-type structures, algebraic structures in analysis and topology, statistics and probability theory, application of data
-
domains. Information You will work under the supervision of Alexandra Lassota and Frits Spieksma in the Combinatorial Optimization group (link ) within the Department of Mathematics and Computer