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, robot control, unconventional cameras, humanoid robotics Skills: formalization of geometric and photometric image models, neural network training, software development, hardware installation, oral and
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of validity ; -Development of public software tools for the purpose of EFT fits, including extended likelihood information from the experiments; development of a suitable format for fast “simplified
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standard solar cell manufacturing processes. The project will also include optical simulation tasks and advanced luminescence characterization experiments. The postdoc will also contribute to the design of
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25 Jan 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Application Deadline 14 Feb 2026 - 23:59 (UTC) Country France Type of...
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. The recuited postdoc will specifically detect OR gene duplications, losses and copy number variations (CNVs) among the selected species and test for signatures of divergent evolution in sympatric species. 2
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. Understanding hydrogen diffusion and segregation across scales is essential for the development of efficient embrittlement mitigation strategies. The postdoc is offered within the project ANR Hy-Style focused
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18 Jan 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 7 Feb 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job...
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of malaria parasites. We are especially interested in understanding the regulatory network orchestrating the original cell cycle that characterises malaria parasites and how checkpoint like decisions are made
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investigate different rhythmic competencies, and how these relate to different speech and language skills. The postdoc will integrate into a team investigating these different topics, and will also be
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize