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that are both fast and adaptive? This thesis aims to develop a robust hybrid learning framework that lies at the nexus of online and offline learning. The developed algorithms should be able to benefit from
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our biofeedback algorithms and, after small N assessments, contribute towards setting up a large-scale trial to assess the efficacy of the newly developed methods. For this you will interact extensively
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Location ESTEC, Noordwijk, Netherlands Our team and mission The Mechatronics and Optics Division provides engineering support for space projects and performs technology developments in the areas
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develop personalised biofeedback methods that train youth and police to recognise subtle, often unconscious, signals of stress. It will enable target groups to react more adequately in stressful moments by
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professionals at every stage of their development cross the boundaries of their fields to collaborate in the transfer, development, and application of high-quality, practical knowledge. For our challenging
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this postdoc position, the focus is on methods and algorithms for large-scale graph analytics, in particular network science approaches for analyzing longitudinal, population-scale relational data derived from
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL
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position focused on the development of 3D LPT techniques for industrial applications. Job description In this Postdoc position, you will focus on the development of large-scale three-dimensional Lagrangian
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for their governing mechanisms? How can we make these model computationally efficient and capable of scaling to large dataset sizes? Scientific challenges for this exciting PhD project include: develop principled
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description As a postdoc, you will be in charge of leading the development of the TU Delft final demosntrators of two EU projects, CoreSense and METATOOL. This will require to, in a short period