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computational approaches to uncover mechanisms underlying complex diseases and to develop predictive, clinically actionable models. The successful candidate will work in a highly collaborative environment with
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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, PRICE Almere, The Green Village Delft) and actors working on experiments on the level of the regime (Ministerie van VRO, Planbureau voor de Leefomgeving en Provincie Noord-Holland). Together with the
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(Białowieża Forest) will be used to refine the methodology: establishing the variability in plants and in herbivores; understanding the plant-to-collagen isotope fractionation; and to depict the complexity
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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processing, Electric Power Engineering, Antennas and Optical Networks, and Biomedical engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and
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Democracy. The multidisciplinary group of senior and early-career social scientists addresses complex governance challenges in environmental and sustainability politics (https://sustainability-governance.net
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into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex mobility systems through