Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Auburn University
- CNRS
- Center for Theoretical Physics PAS
- DAAD
- Fraunhofer-Gesellschaft
- Ghent University
- INCDTIM
- Inria, the French national research institute for the digital sciences
- Minnesota State University
- Monash University
- NIST
- Nature Careers
- Northeastern University
- The University of Chicago
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Luxembourg
- University of North Carolina at Charlotte
- University of Pennsylvania
- University of Southern Denmark
- University of Texas at Dallas
- Université Claude Bernard Lyon 1
- Université de Limoges
- 12 more »
- « less
-
Field
-
for screening combinatorial libraries from microsyntheses would be highly valuable for lead discovery optimization and should revitalize drug discovery programs. Thesis project: In this context, we propose
-
approaches. Apply hybrid optimisation techniques (e.g., quantum-inspired or QAOA-based methods) to determine optimal intervention strategies under resource constraints. Compare the performance, scalability
-
the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Research and Development Specialist, you will: Conduct cutting edge research and development in Swarm Intelligence and
-
University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include preparation
-
12 Feb 2026 Job Information Organisation/Company INCDTIM Research Field Chemistry » Combinatorial chemistry Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application
-
to the choice of monomial order, to the valuations of the coefficients, and to the combinatorial properties of the system under consideration, as illustrated by numerous works including those of Maclagan
-
practices Linux OS, Git-based version control Knowledge in combinatorial optimization Experience in implementing machine learning solutions (in particular reinforcement learning) Experience with one or more
-
) Machine Learning and Combinatorial Optimization (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest possible date. The positions are
-
advantages for structured combinatorial optimization problems and quantum simulation tasks. Quantum Algorithms Implementation: Simulation of quantum systems on realistic hardware. Quantum Architectures
-
optimization, including integer, nonlinear, and combinatorial optimization; global and non-convex optimization; machine learning for optimization; explainable artificial intelligence; heuristic and metaheuristic