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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10507 Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 7 days ago
in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) software package, including adding functionalities related to parallel optimization, Implementation and benchmark
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knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C++ and Python. Demonstrated ability
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preferred. Skills in one or several programming languages (e.g. Python, Fortran, C++) are necessary. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023-ANTGUS-003/Default.aspx Work
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dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming skills are very important. Experience with C/C++, Python, Julia, MATLAB, CUDA, or a comparable
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ASIC implementation. You will carry out system modelling, design novel parallel processor architectures at the RTL level (using Verilog/SystemVerilog or VHDL), and drive the hardware-software co-design
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to Search Postdoctoral Research Associate - Extreme NLO Interactions in Semiconducting Materials Posting Number req27178 Department James C Wyant Coll Optical Sci Department Website Link https
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(UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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current processes and identify, propose, and implement improvements to ensure output of high-quality datasets. Work with other team members and leadership to plan project requirements and timelines, shift