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-driven 3D motion understanding and generation in the following ways: Developing machine learning methods to decode EEG-based motor imagery for 3D human motion reconstruction, focusing on latent diffusion
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. Who are you? We are seeking a talented and motivated candidate to implement Artificial Intelligence/Machine Learning (AI/ML) algorithms for modeling and improving the observation of hydrological
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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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more than five years ago at the time of accepting the position (a net period of time, which does not include parental leave, military service etc.) good skills in spoken and written English prior experience
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(PyTorch, Tensorflow etc.) Knowledge of multi-agent systems and autonomous agent modelling Expertise in Machine Learning and Artificial Intelligence We consider the following as an advantage: Willingness
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. The position is closely linked with the Finnish mobile machine industry. The industry employs 45,000 people, generates €19 billion in revenue, and accounts for over 10% of national goods and services exports. It
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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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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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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