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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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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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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | about 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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notes for the Blockchain Technologies course at UPF. These notes must cover the theoretical fundamentals of blockchain technologies, including cryptographic primitives and consensus algorithms, while
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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
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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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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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for the construction of the 6G telco cloud, both at the architecture and algorithmic levels. This includes scalable telco clouds, flexible functional splits, native trustworthiness, trustworthy AIML, decentralized
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or equivalent Skills/Qualifications Technical Skills: R. Python. Specific Requirements Knowledge: Causal relationships between random variables. Machine learning algorithms. Professional Experience: Have