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of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (https://www.fct.pt/apoios/bolsas
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statistical models to understand and explain biological phenomena. • Create algorithms to integrate large and diverse datasets into theoretical frameworks for modeling complex biological systems. • Collaborate
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conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in-distributed-wireless-systems/ Distributed MIMO
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
employment. Starting date: 01.03.2026 Job description:PhD Student (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling With cutting-edge research in the fields of ENERGY, HEALTH and MATTER
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
Job description:Postdoc (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from
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staff position within a Research Infrastructure? No Offer Description The selected candidate will develop innovative and efficient resource optimization algorithms, suitable for this context, with cost
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algorithms, together with innovative methodological approaches for the clustering/tiling/thinning/sparsening of complex apertures. Where to apply Website https://lavoraconnoi.unitn.it/incarichi-di-ricerca
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processing and network architecture solutions that exploit Integrated Sensing And Communications (ISAC). The candidate will research signal processing and radio resource management algorithms for beyond 5G
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the algorithmic capabilities of intelligent systems, reducing their computational costs, and bridging the gap between hardware and algorithm design. Duties and responsibilities The appointment as a postdoctoral
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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance