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internationally and is strengthened by the many young researchers working on innovative projects with as doctoral candidates and post-docs. It has been accommodated in three multidisciplinary UT research institutes
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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towards a future-proof logistics system with a special focus on machine learning-based collaborative scheduling, resource sharing, and self-organisation. The EngD position corresponds to a 2-year post
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closely with experienced faculty members to develop and deliver courses at the BSc and MSc levels. RSM has a dedicated Learning Innovation Team (LIT), which supports faculty members in the improvement and
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Location ESTEC, Noordwijk, Netherlands Our team and mission This research fellowship will be carried out in ESA’s Advanced Concepts Team (ACT): a team of research fellows (post-docs) and young
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such as Problem-Based Learning (PBL). Both the Dutch and English programs are highly ranked by students and alumni. ESSB is home to over 4000 students and more than 400 staff-members. The different
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-based-modelling. This post-doc will be responsible for conducting these tasks. The spatial microsimulation will create maps that cover the pilot areas and show where demand for either social services