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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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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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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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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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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
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intelligence and machine learning technologies/algorithms Background in software engineering and programming languages, data analysis and BI tools Proven experience in technical project and service management
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that can be used for training machine learning and deep learning models. You will work in tight collaboration with other researchers in Nijmegen, Delft and at the Hubrecht Institute (van Oudenaarden group
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Advanced control, optimisation and estimation techniques Artificial intelligence and machine learning techniques for AOCS applications and engineering AOCS modelling, AOCS software, AOCS hardware and
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/ ) excels in teaching and research in the fields 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