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Category Mathematics, information, scientific, software Contract Internship Job title Improving the Effectiveness of LLM-Assisted ISS Generation from Design Specification H/F Subject The internship
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microarchitectural vulnerabilities and/or formally prove the robustness, for a given fault model, of various RISC-V based processors. We have also developed binary-level program analysis methods (BINSEC/ASE) able
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vulnerabilities and/or formally prove the robustness, for a given fault model, of various RISC-V based processors [4]. We have also developed binary-level program analysis methods (BINSEC/ASE) able to efficiently
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of estimating and evaluating how communication can help accessing compute resources at the edge, but also how computing (and especially AI-related workloads) can help communication via the extraction of relevant
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of partners, putting the collective interest first. You have demonstrated your ability to manage a research program with the necessary scientific rigor. Your enthusiasm for innovation will enable you
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responsible to develop and test the new software in collaboration with experts of genomics at Joliot and of computer science at MdS. Your mission will include: Discussions and set-up of the physical models
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to support research. Implement algorithms, data structures, and other computational techniques to solve complex problems. Collaborate with cross-functional teams to integrate software components into larger
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from recent work in hyperspectral image classification for Mars exploration , though several datasets will indeed play different roles in the development. Differently from mainstream computer vision
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architectures. You enjoy working in an applied research environment at the state of the art and proposing innovations and various application areas. You have acquired the following technical skills • Computer
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We are looking for a candidate with a Master's degree, Engineer's degree or PhD in computer science, junior or senior, to join a team responsible for the packaging, deployment, and testing