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intelligence, computer algebra, computational logic and automatic reasoning Experience with SAT, SMT, QBF, MaxSAT Experience with algorithmic methods for commutative and noncommutative polynomials Experience in
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STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 119977 Development of mathematical and machine-learning algorithms to support an intelligent, integrated system for biosafety
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No. 1 scholarship grant for scientific training activities at INFN Structure of Roma for the following research topic: “Development and FPGA Implementation of Neural and Traditional Algorithms
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characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
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incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies
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-channel measurement systems, transmitted via high-speed links to a server for algorithm-based processing. The candidate will contribute to the design of efficient server-side data processing and participate
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with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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(https://www.ise.fraunhofer.de/en/research-projects/pvev.html ), we are working to optimize models for PV self-consumption estimation and, on that basis, to develop an algorithm for PV feed-in upscaling
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academic research lab environment -Software programming for scientific simulations -Interdisciplinary and multi-physics relevant strong background -Design of computational algorithms for 1st /2nd order time
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following themes: Traffic modelling and multimodal transport simulation Travel behaviour and choice modelling Network optimization and algorithmic methods Machine learning and data-driven approaches