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position within a Research Infrastructure? No Offer Description Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects
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electrical engineering, control engineering, computer science, applied mathematics or a related field. The successful candidate will have expertise in at least in one of: Machine learning in the context
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efficiency and the safety of operators and equipment. Science objectives: 1) Development of innovative machine learning models that require minimal data by leveraging simulations and domain knowledge, and
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Project tasks and objectives: Industry objectives: To investigate sensor configurations and machine learning methods for sensor fusion-based machine perception for real-time operation, including
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to apply for our open positions. Benefits In the Materials Informatics Laboratory group, we combine electronic structure simulations and machine learning to pursue innovative applications for future
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error correction (advantage) Background in software development (advantage) Optimization techniques and machine learning (advantage) Ability to conduct independent research Excellent written and oral
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, the social dynamics of human-AI collaboration, and advanced machine learning within engineering. Generative AI is fundamentally reshaping how engineers access domain-specific knowledge, interact with
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to bridge preclinical findings with clinical applications. Through advanced computational approaches, machine learning, and AI-driven neuroinformatics, we extract meaningful patterns from omics, imaging
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Researcher in Trustworthy Machine Learning Your role and goals Trustworthy & Adversarial Computing Lab (https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student
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/ https://www.infofinland.fi/en/landingpage Ponsse's research and development (R&D) efforts in Tampere are focused on automation systems for mobile machines, software development, and energy-efficient