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monitoring, sensing, and data-driven control; residual stress, fatigue, and qualification and certification of printed materials; printability-driven and compositionally complex alloys and printable
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 30 days ago
estimation algorithms. The models and algorithms you develop will be part of open source and data repositories affiliated with the broader research program and TU Delft’s commitment to Open Science. You will
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complex materials, data-driven methods, and computational fluid dynamics. Supervision: Shervin Bagheri is proposed to supervise the doctoral student. Decisions are made on admission Admission
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 29 days ago
or predictive modeling of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access to research vehicles
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9 Sep 2026 Job Information Organisation/Company CNRS Department Systèmes et Applications des Technologies de l'Information et de l'Energie Research Field Engineering Computer science Mathematics
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scientific computing, control theory, data science, data driven methods, discrete mathematics, discretization methods, graph algorithms, high-performance computing, integral equations and nonlocal models
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compiler abstractions, and working towards a programming framework for the 3D systems. Requirements: excellent university degree (Master/ diploma or equivalent) in computer science, mathematics
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pioneer of purpose-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach
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interface of computational genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The position offers a unique opportunity to
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transformation of the built environment at network and city scales to support decision making for sustainable and resilient infrastructure systems; data-driven approaches to convert passive civil