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technologies, for example, using machine learning techniques to support long term exploration; Topics related to ‘off world living’, e.g. human factors, design and concept illustration; Crew Health and
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for a four-year assignment. During this time, you will be actively working and learning on the job and will benefit from valuable mobility and developmental opportunities that will prepare you for a
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Do you want to play a crucial role in developing the next generation of computer technology? At CogniGron, a globally recognized research center of the University of Groningen, we are looking for a
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well as stimulating the use of campaign data in new EO domains (such as big data analytics, artificial intelligence and machine learning); initiating and conducting in-house and external scientific studies to support
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. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience
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adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases and in particular the complications encountered in photometric
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Are you passionate about observational astronomy and love supporting students in their learning process? Do you enjoy combining hands-on technical work with educational impact? If you enjoy working
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develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
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activities. Assist students with technical issues related to the online learning platform and other technical aspects. Collaborate with colleagues from programme management, IT, admissions, and the registrar
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of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to this is individual and societal resilience and