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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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but not limited to: o Quantum error correction, fault tolerance, and resource optimization. o Entanglement dynamics, quantum control protocols, and hybrid quantum-classical algorithms. o Modeling and
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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of structural optimization schemes for customized reinforcement configuration in reinforced concrete component. • Conduct mechanical testing on steel-concrete composite elements. • Collaborate with team
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to the scale of the mesh and the hydrodynamic time step. This approach, currently being developed as part of a 5-month M2 internship, aims to reduce costs and optimize resources. Planck and Rosseland means
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systems capable of selecting and combining models of different complexity, in order to better represent groundwater dynamics and improve large-scale predictions under climate change. Objective — The PhD
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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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staff members and 850 students. The Department of Built Environment (BE) at Oslo Metropolitan University has a vacancy for a PhD candidate in protective structures. In this project, we will explore
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learning based optimization algorithms, human and AI coordination in best decision making for urban transportation related problems. The role will focus on developing generic frameworks and innovative
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‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future