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Field
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Are you interested in designing innovative separation methods that use an electric field as an additional driving force? Can you combine experimental with simulation results into a design that is
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) . You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship About 21% of the world’s forest area is currently designated under legal protection
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students, and contributing to an open, diverse, and inclusive academic community. Job requirements You hold a PhD in Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, Electrical
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, you will: combine knowledge on electrostatic interactions, fluid dynamics and machine design; design a novel, scalable, separation process for proteins that uses electric fields as a driving force
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, enabling trustworthy computation without compromising energy budgets. Treating security as a first-class citizen when designing hardware components and future computer architectures requires novel design
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of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
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of high-quality GPR data collected at the University of Twente’s Utility Mapping Site (UMS), a unique test environment for utility mapping technologies. Current machine learning models and their training
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environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in partial automation with limited
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explore emerging areas including integrated sensing and communication (ISAC), large-scale antenna systems, reconfigurable intelligent surfaces (RIS), near-field communications, machine learning
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closely with colleagues and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome