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further refine and validate our virtual reality biofeedback game for both youth and police. You will collaborate with stakeholders, end-users, game designers and our CONTEXT science team to improve our
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produce and what policymakers and enforcement agencies can confidently use. The current validation frameworks were designed for annual or static products and fail to address several key areas: Time-evolving
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, and for longitudinal designs. Some of these latent models capture also dataset‑specific components, account for heterogeneity of the joint components across datasets, or incorporate covariates. However
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processes at the NMJ and their underlying molecular mechanisms. For this, we have designed an interdisciplinary research project where fundamental research groups team up in a new collaboration aiming to
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into an independent researcher, your tasks and activities will include: completion and defense in public of a doctoral dissertation within four years; participating in the design of the research project; performing
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transparent and inclusive work environment in which everyone feels welcome and appreciated. Our organisation is always evolving and we need your ideas for improvement and innovation to take us further. We want
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research to Dutch industry, thereby strengthening its innovative power and competitive strength. What you do Plan, coordinate, and run a clinical study — involving patient recruitment, planning and execution
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inter- and transdisciplinary collaboration. Our shared mission is to develop strategies towards the design and implement a new generation of transparent, citizen-empowering AI systems, with a focus on AI
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is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate
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this specific structured data. How can we perform inference tasks to learn hidden patterns, like community structure or hidden hierarchies? How can we incorporate domain knowledge to design interpretable models