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Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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advanced algorithms for solving complex optimization problems. You will work with real-world case studies to design future-proof supply chain networks for key agricultural products in vulnerable regions
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to complex differential problems. Particular attention will also be devoted to the optimization algorithms required for training these physics-informed machine and surrogate models. Project funded by Ministero
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Requisition Id 16734 Overview: We are seeking Research Associates to advance, implement, and evaluate scalable quantum algorithms for material simulation. This work directly supports the 5-year
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of artificial intelligence and consumer behavior. • Designing, developing, and evaluating artificial intelligence (AI)-based techniques and algorithms related to consumer behavior and manipulative online
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award at FOCS 2019. These positions are supported by an ERC Advanced Grant (Distributed Quantum Advantage , 2026–2031) and a QuantERA grant (Quantum Network Algorithms , 2026–2029); in the QuantERA
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award at FOCS 2019. These positions are supported by an ERC Advanced Grant (Distributed Quantum Advantage , 2026–2031) and a QuantERA grant (Quantum Network Algorithms , 2026–2029); in the QuantERA
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Highlights Interested in advancing computational modeling and plasma research for next-generation semiconductor manufacturing? This opportunity offers the chance to work on innovative simulation and algorithm
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and