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PhD: Physics-informed AI-modelling of land surface processes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 22
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Physical geography is looking for a highly motivated PhD candidate with a
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of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently seeking a highly motivated PhD student to join our team
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approaches. The PhD project focuses on the design and implementation of secure, privacy-preserving, and trustworthy data exchange mechanisms for cyber-physical systems (CPSs) operating in regulated and safety
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Process Mining? In this project we aim to transform the way we analyze and visualize complex processes. Information The field of process mining, a branch of business process management, revolves around
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to the grid/market. In this regard, this PhD focuses on optimizing the use of flexibility in electrified process plants by leveraging dynamic behaviors and market participation. With the above premises, the
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flexibility is offered to the grid/market. In this regard, this PhD focuses on optimizing the use of flexibility in electrified process plants by leveraging dynamic behaviors and market participation. With
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climate resilient policies! Job description This 4-year fully funded PhD position is part of the ERC Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX). The SPHINX
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! Job description This 4-year fully funded PhD position is part of the ERC Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX). The SPHINX-research program is made
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-supervisor was M. Veldhorst. Hendrickx received his BSc in applied physics in 2014 and his MSc in 2017, both at the University of Twente. He went on to gain his PhD cum laude in Delft for his dissertation in