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Model of Immersive Learning (CAMIL) by empirically examining how immersive VR supports learning processes across educational contexts. This position is part of a larger project funded by the Nationaal
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, engineers and more; Improve machine learning skills in medical environments by working with real-world medical data; Gain experience in knowledge management. Behavioural competencies Education You must be a
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., machine learning, stochastic dynamic programming, simulation). Affinity with (food) supply chain management is preferred. To collaborate with and to co-supervise MSc thesis students and internship students
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented 2 PHD-STUDENTS IN NEUROAI OF DEVELOPMENTAL VISION (M/F/X). Job description The Curriculum
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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weather prediction using Machine Learning approach (hybrid forecast). The app is also expected to be equipped with seasonal forecast for agricultural planning. You will co-design the short-, medium-, and
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data analytics, artificial intelligence and machine learning and statistical and analytical methods and tools Strong understanding of the entire product lifecycle, including the feedback loop
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-resolution, open-access climate projection ensembles with statistical and machine learning-based resampling techniques (e.g., k-nearest neighbours) to simulate weather-dependent energy supply and demand
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intelligence, for example for machine learning and predictive maintenance and on-board and on-ground flight data processing; developing an artificial intelligence strategy for European launcher manufacturing
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning