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novel cryptographic algorithms. Contribute to project documentation and the dissemination of research findings. Author and co-author scientific papers for submission to top-tier journals and conferences
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on signal acquisition and development of algorithms for wearables and radiofrequency contactless sensors. The contract will be within the framework of the “Advanced Unintrusive Remote health Assessment” (AURA
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: Modelling of optimization problems mainly related to the indicated line of research, as well as the design, implementation, and validation of algorithms to solve them Where to apply Website https
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to apply Website https://t.ly/I3glk Requirements Research FieldBiological sciencesEducation LevelUndergraduate Research FieldComputer scienceEducation LevelUndergraduate Research FieldEngineeringEducation
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/08/2025 END: 31/12/2029 Centre of Principal Researcher: Faculty of Computer Science. Álvaro Leitao Rodríguez PURPOSE OF CONTRACT: Advanced Deep Learning algorithms for solving PDEs and SDEs in finance
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 2 months ago
, development, and training of machine learning and deep learning algorithms. Creation of accurate, robust, and energy-efficient models. Development of systems capable of predicting and making decisions in real
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, quantum compilation techniques, and noise-aware algorithms for Rydberg architectures. Apply quantum optimization to real-world problems such as logistics, scheduling, and portfolio allocation, comparing
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studies of human movement. Functions to be developed: Develop algorithms to analyze human movement tracking data. Capture movement with Xsens. Write research articles. Where to apply Website https
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payment for that month). 2.5. Tasks to be carried out: Developing deep learning methods for processing multimodal data and data for analysing temporal information. Developing computer vision algorithms with
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of elements) of the model.; 3) develop an optimization algorithm based on genetic algorithms and metamodels and 4) design functionally graded OC scaffolds using different biomaterials. The doctoral candidate