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postdoctoral researcher who will investigate the perceptions of various actors of the port area’s water system in Amsterdam in the context of the energy transition. Researching the energy transition in the city
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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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development. Publishing results in journals and conferences, and engaging with stakeholders through workshops and demonstrations. The position is embedded in the Photovoltaic Materials and Devices (PVMD) group
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embedded in the Photovoltaic Materials and Devices (PVMD) group, in close cooperation with TU Delft colleagues and industrial partners such as Aldowa Green. You will work in a multidisciplinary environment
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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values shaping the transition to renewable ("green") hydrogen and how can the institutional and market embedding of new hydrogen systems take these values into account? Using qualitative methodologies
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with future developments in the industrial ecology field What you bring This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields
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This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields: computer science, information science, industrial ecology, operational research, environmental