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-autonomous systems, and their applications to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength
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23 Jun 2026 Job Information Organisation/Company CNRS Department Heuristique et Diagnostic des Systèmes Complexes Research Field Computer science Mathematics » Algorithms Researcher Profile First
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digital worlds. Its teams explore, design, and develop models and methodsboth physical and algorithmic—as well as new technologies that bridge the real world (matter and living systems), digital data, and
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simulations and data analysis. This includes data analysis using Python-based algorithms. Experience with EELS is preferred. Skills This See Experience
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Using Machine Learning Algorithms (Plasmon-2Detect), ref. COMPETE2030-FEDER-00714300, number of the project - 16004, financed by the European Regional Development Fund (ERDF), with a view to the
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learning algorithms. Expertise in object-oriented programming, scripting languages, and modern software engineering practices for research codes. Demonstrated effective written and oral communication skills
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candidate will demonstrate a record of excellence in one or more core areas of quantum information, such as quantum computing, quantum algorithms, quantum simulation, quantum networks, or quantum sensing
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; Develop novel algorithms for adapting and specialising visual foundation models; Publish research findings at leading machine learning and computer vision venues such as CVPR, ICCV, ECCV, NeurIPS, and ICLR
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research group at INAR, led by Professor Heikki Järvinen. The group is active in topics such as atmospheric convection, extra-tropical cyclones, and ensemble prediction including algorithmic parameter
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codes and process their results. Helping to develop new models and algorithms to simulate pulse propagation, the material response, and other aspects of our experiments. Coding in Julia and python. Take a