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Develop soft, 3D-printed hydrogel bioelectronics for next-generation neural interfaces. Job description A 4-year PhD candidate position is available in the research group of Achilleas Savva in
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produce data that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models
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; expand academic, professional and personal skills; use high-end compute infrastructure via the national ICT cooperative (SURF) What we ask of you You are passionate about research and want to develop
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, which will use the digital twin together with monitoring data to develop prognostic structural health monitoring strategies. In this project you will: Perform experimental characterization of the static
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’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize
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are seeking a PhD candidate for a 4-year contract to develop and apply computational models and video-based tools to capture hand movement and function with deployment in the home environment as the target
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used to model leukodystrophies because of their genetic tractability and the ability to study early brain development. To strengthen their use as preclinical models, this project will develop outcome
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Fixed-term contract: 12 months. What do we offer? We offer a dynamic and inspiring environment with excellent support for experimental work and analysis, and great opportunities for collaboration
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Develop advanced models to understand and predict piping and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with
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these particles rely largely on labor-intensive identification approaches and provide limited information on the diversity of particles present. We aim to develop a novel portable system for rapid and