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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Assistant to contribute to cutting-edge research in embodied AI and
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External Posting Pay Rate Range 80,000 to 200,000 Close Date 12/31/2026 Priority Review Date (Note - Posting may close at any time) 10/02/2026 Job Summary About the role This is a research-driven design role
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the President Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant
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Potentials (MLIP), machine learning (ML) predictive models and AI tools. Activities : Computer science implying ML and AI tools applied to material science Where to apply Website https://umontpellier.nous
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 17 hours ago
adaptations; disease modeling and the pathophysiology of pregnancy-associated complications (e.g., preeclampsia, preterm birth, gestational diabetes); therapeutic discovery; and the developmental origins
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understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and observation-driven paradigms
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and
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Including Renewals: 6 months Objectives To develop and validate a hierarchical, time-dependent forecasting framework for the COVID-19 pandemic, integrating heterogeneous epidemiological and data-driven models
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and computational chemistry whose research lies at the interface of reactive molecular simulations and data-driven modeling. The successful candidate will develop and apply data-driven methods