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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
will develop computer vision, machine learning and control algorithms for a robot to perform packaging tasks. Human demonstrations will be used to generate data for learning. These data will encompass
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Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility
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Matter 2022, 10.1021/acsanm.2c03406) we have developed a chemical assay coupled with a machine learning algorithm to measure the impact of wood-aging on a range of foodstuffs. The project involves
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Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 11 days ago
for matching and aligning anatomical structures Where to apply Website https://umfst.ro/info-studenti/studii/doctorat/cercetatori-postdoctorali/ Requirements Research FieldOtherEducation LevelPhD or equivalent
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programme Reference Number AE2025-0568 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0568
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to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description
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problem-solving skills; Ability to work independently in a dynamic environment with changing priorities; Some familiarity with scripting (Python or similar) and interest in algorithmic approaches; Strong
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learning algorithms constitutes a very promising research direction for energy-efficient and Edge AI applications: the goal here is to make these systems capable of learning per se, not just inference