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of colour vision loss. The experimental findings will be used to establish informed criteria for a new protocol for colour vision in Network Rail. The work is embedded within an established programme of
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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1 Mar 2026 Job Information Organisation/Company Fundació Privada I2CAT Department Software Networks Research Field Technology » Telecommunications technology Researcher Profile First Stage
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. Raissi, P. Perdikaris, and G. E. Karniadakis, Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear PDEs, J. Comput. Phys., 378:686–707
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constraints. Physics‑Informed Neural Networks (PINNs) embed PDE residuals and boundary conditions directly into training, while operator‑learning approaches provide mesh‑agnostic mappings from inputs to flow
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apps and simulations of established real-world spiking network models on different computing systems and analysis of results Collaborate closely with local (IAS-6) and national (TU Dresden, FAU Erlangen
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4 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 2 May
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science background, preferably in algorithm design, system programming, networking, operating system, and computer architecture. Experience in low-latency RPC, network stacks, distributed systems, host data plane
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10 Mar 2026 Job Information Organisation/Company Sorbonne University Department LIP6 Research Field Computer science » Other Engineering » Electrical engineering Physics » Optics Researcher Profile
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Candidate will join the recently launched NEWTON Doctoral Network which is funded by the Horizon Europe Research Program through the Marie Sklodowska-Curie Action, under the title: “NovEl tEchnologies