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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
5 Feb 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile First Stage
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biologic therapy, integrating data from clinical trials and real-world studies. The model will be used to simulate and evaluate optimized dosing strategies for special populations, including hard-to-treat
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Location: Ithaca, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific
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prediction framework that enables the autonomous self-configuration of swarm computing within the 6G infrastructure, ensuring high availability and SLA compliance through continuous, data-driven optimization
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support of student learning. We are looking for team members who will emanate optimism, solve problems collaboratively, reflect on how one’s actions impact others, contribute to an engaging and inclusive
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the methodology for measuring economic impact of community resilience planning, which is organized around the performance metric of 'cost plus loss' minimization - i.e., the economically optimal level of investment
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efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers
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Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 28 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded
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for managing the Center’s technology platforms, optimizing system performance, maintaining data governance practices, and providing training and troubleshooting support to internal stakeholders. This role is
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(PICs) increasingly used in various applications. To allow a smooth design flow for these PICs, optimized compact models are needed. This PhD position is enabling compact models for optical amplifiers and