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Field
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modelling, data analysis, and hydrogeology? Are you passionate about hydrogeological system
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toolchain comprising a statistical description of the wind resource and physics-based models of the AWE system will be combined with a cost model of the farm. Is it better to scale up the individual systems
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to ensure robust and efficient energy conversion in challenging environments. The work will combine analogue/mixed-signal IC design, system-level modelling, and experimental validation of fabricated
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description of the wind resource and physics-based models of the AWE system will be combined with a cost model of the farm. Is it better to scale up the individual systems or to combine multiple smaller-scale
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, national and international policies; Identifying innovative solutions and leveraging existing and new multi-model data to improve access to and uptake of city-based CVD strategies; Co-creating, implementing
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: MSc in materials science engineering. Backgrounds in chemistry, physics, computer science or a related area are also welcome. Good expertise or strong interest in numerical modeling, machine learning
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on the development of new platforms for osteoarthritis research, including advanced in vitro and ex vivo culture models. With these models we strive to reduce and replace animal experiments while working towards
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postdoctoral researchers, supervised by Dr. Tim van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because
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development, modelling, and system-level optimization in one of Europe’s most vibrant research ecosystems for sustainable energy and transport.
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on the development of new platforms for osteoarthritis research, including advanced in vitro and ex vivo culture models. With these models we strive to reduce and replace animal experiments while working towards