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, 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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Framework Programme? Not funded by a EU programme Reference Number AE2025-0599 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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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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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 1 day 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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position within a Research Infrastructure? No Offer Description COMPETITION OPENING DATE DECEMBER 5, 2025 As part of the ERC Advanced Quantum Algorithms, several postdoc positions in the Gull group
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14 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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6 Research Professors (DR2). Competitive entry is open for research themes pertaining to Physics M/F
14 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile Established Researcher (R3) Country France
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 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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propagation models that incorporate the effects of fire effluents, validated through controlled experimentation. You will develop tomographic inversion methods and anomaly-detection algorithms capable
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mindset and intellectual curiosity to strengthen and complement the research profile of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund