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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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managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing, AI, internet-of-things
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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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Our group The scientific programmer will be embedded in the Massivizing Computer Systems (MCS) group, which focuses on research in distributed computing systems and ecosystems, and currently spans
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computer systems and for providing technical support to ensure seamless operations. Building the network and systems environment with a combination of standard open-source components, custom services, and
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Research and teaching at the Chair of Econometrics & Statistics focuses on the analysis of multivariate time series data. Topics of interest include structural breaks, forecasting, adaptive learning
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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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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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of Science and Engineering (FSE). We conduct fundamental research on self-learning materials and systems for the next generation of computer chips. These chips must address growing data traffic and rising
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inventory, a major incentive for the project is the application and adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases