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is available from 01 January 2027 or later. You can submit your application via the 'Apply' button above. Title PhD Position in Physical AI: Adaptive Foundation Models for Robotics Research area and
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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and
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candidate will have expertise in several of the following areas: • Strong knowledge of ocean circulation, physical oceanography, and numerical ocean modelling. • Experience with regional ocean models
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adaptation to changes such as route closures, infrastructure modifications and new mobility technologies; Translating model insights into tools and knowledge relevant for urban planning and transport system
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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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are encouraged. The group is embedded within ICMM, providing access to outstanding facilities for human and mouse embryology, advanced microscopy, genome engineering, transgenic mouse models and single-cell
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with the University of Copenhagen, DiverCities, EIT Urban Mobility, Miljøpunkt Amager, and Trafik i Børnehøjde), which investigates how a care-centred, technology-enabled model of climate engagement can
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions