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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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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 23 hours ago
of numerical optimization algorithms. Software maintenance and development. Read scientific reports. Write scientific reports. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10548
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stakeholders to translate research into practical tools and workflows. Responsibilities: Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for urban intelligence
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-enabled scientific workflows that address high-impact national challenges. Responsibilities include, but not limited to: Develop novel AI, machine learning, and knowledge-guided learning algorithms
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NTU’s global reputation for excellence in robotics and AI. Key Responsibilities Design and implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 23 hours ago
reliable methods for robust control (H∞) to determine the robustness radius γ as a function of the system's physical parameters. Develop algorithms, reliable visualization tools, and software capable
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justice, health equity, education, workforce development, or technology governance. Familiarity with applied case studies involving algorithmic bias in areas such as healthcare, hiring, education, finance
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to the activities of the Machine Learning & Data Science research group, develop rigorous mathematical proofs for convergence and asymptotic analysis of deep learning models, methods and algorithms, and collaborate
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 6 hours ago
data analysis, algorithm development, and the use of statistical software and data warehouses, while using pharmaceutical quality submission data. You will also develop an understanding of OPQ business
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Post-doc on formal verification and algorithm discovery for numerical analysis About us and our