Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Tübingen
- Universite de Moncton
- CNRS
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Imperial College London
- Nature Careers
- Susquehanna International Group
- Temple University
- ;
- Brookhaven Lab
- CSIRO
- California Institute of Technology
- DAAD
- Drexel University
- Duke University
- Heraeus Covantics
- McGill University
- National Renewable Energy Laboratory NREL
- Purdue University
- Simula Metropolitan Center for Digital Engineering
- State University of New York University at Albany
- The University of Chicago
- The University of Iowa
- UNIVERSITY OF SOUTHAMPTON
- University of Alabama, Tuscaloosa
- University of Antwerp
- University of Glasgow
- University of Lund
- University of Luxembourg
- University of Minnesota
- University of Minnesota Twin Cities
- University of Nebraska–Lincoln
- University of Texas at Austin
- 23 more »
- « less
-
Field
-
21 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
-
new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms to maximize
-
You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
-
are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
-
algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
-
to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
-
2 Sep 2025 Job Information Organisation/Company CNRS Department Maison de la Simulation Research Field Computer science Mathematics » Algorithms Researcher Profile Recognised Researcher (R2) Country
-
modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
-
computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
-
the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and