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Field
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, variable-density groundwater flow and fresh-salt transport modelling, field evidence and applied spatial decision support. You will improve and apply an existing calibrated, high-resolution groundwater model
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, navigation and control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line
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/publication record Ability to conduct research autonomously Breadth of exposure coming from past and/or current research/activities Ability to gather and share relevant information General interest in space and
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route to produce high-quality recyclates, but current implementations rely on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy
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which wind-farm-induced changes in the atmospheric flow and boundary-layer structure can affect precipitation. Targeted simulations with and without wind-farm effects will be used to quantify
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layer for gene expression control and numerous other processes in the cell. In this context, individual and combinatorial modifications guide spatiotemporal recruitment of regulatory factors to specific
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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) This is what we offer you Pillar 4 is a postdoctoral position, not a PhD position. We offer: A temporary employment contract for 38 hours per week for a duration of 2 years (with a probationary period of 2
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EU policy analysis and evaluation Demonstrated experience in risk governance, risk regulation on an EU level An excellent written and spoken command of English, as demonstrated by publications in
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strong publication track record. You have a good command of spoken and written English. What we offer you We will give you a temporary employment contract of 1 year with the prospect of an extension