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Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a focus on
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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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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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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
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their applications to problems in natural sciences (physics, chemistry) and practical computing (machine learning, AI, optimization), and methods to make them compatible with near-term quantum devices
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methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
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to collect large-scale experimental datasets and apply machine learning techniques to predict the performance of complex food ingredients, supporting the creation of products with lower environmental
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also assist in evaluating the most suitable spectral identification methods for planetary materials using custom classification software based on Machine Learning techniques. Key tasks include collecting
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Education A master’s degree in telecommunications, electrical or computer engineering is required for this post. A PhD in a relevant domain would be considered a plus. Additional requirements General