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fusion energy systems. This includes developing new machine learning models and software for scale-bridging and physics coupling in multiscale and multiphysics simulation codes for materials science and
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indicators to locate and correct code problems. Develop and implement predictive models and leverage machine learning techniques to identify trends, optimize processes, and generate actionable insights
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 1 day ago
operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . https://www.it4i.cz/en Required expertise: Proven experience with teaching or training activities Experience with AI
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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computer-aided material development, the finite element method and machine learning Expertise in the simulation of functional materials and mesoscopic systems Expertise and experience in the simulation
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machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge experimental tools with the development of new AI methods to understand and model
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within the Wicked Problems (WiP) learning framework. This role bridges physical systems and their digital counterparts, focusing on the design, simulation, and real-time control of interconnected smart
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machine learning models to identify novel diagnostic opportunities and improve workflow efficiency. This is a core job profile description and is not reflective of all duties that may be assigned to a
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to Understand and Improve Veterinary Infectious Disease Models The interdisciplinary 3RTG Graduate School invites applications for PhD positions in the field of infectious disease research using animal models
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, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling