Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 10 hours ago
19 Sep 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile First Stage
-
live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
-
optimality and allows influence to be assessed at various stages of optimization. 2. Addressing Computational Challenges** Applying influence functions to deep neural networks presents **computational
-
Dec 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
-
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Opportunity
-
-time Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 2025-D0216 Is the Job related to staff position within a Research Infrastructure? No Offer Description
-
synthesis approaches with superstructure optimization for the conception of supercritical CO2 Brayton cycles”. In: Computers & Chemical Engineering 201 (2025), p. 109255. doi: 10.1016/j.compchemeng
-
Deadline 3 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project builds on the expertise of the OASiS
-
between global and reactive planning. Global planners are widely used in robotics to compute optimal trajectories, but they require considerable computational time. On the other hand, reactive planners