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optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is appropriately structured for AI
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in topology optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is
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sources and its suitability for downstream conversion processes. The aim is to develop a pilot-scale CO2 separation system capable of handling a range of input gas streams, including biogas, flue gas, and
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university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic
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Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may also include technique development work aimed at combining imaging
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Activity Emissions data in Denmark, and the starting SmartField project, and it is envisioned that these activities will be expanded beyond Denmark to Europe or even globally. We expect that you will be
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project management in complex IT environments. Strong understanding of system architecture, integration, and data governance. Ability to incorporate security and compliance into technical solutions from
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of education and philosophy of technology). It has attracted a substantial amount of external funding in recent years and is strongly involved in interdisciplinary collaboration. The SDU Philosophy Section is
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2025 or soon thereafter. Each position is available for a period of 2 years. Who are we? CNAP strives to identify and modulate key features of human pain neuroplasticity and understand its relevance
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environment. Knowledge about emissions of volatile PFAS compounds to air is limited, and it is unknown whether landfills and wastewater treatment plants are significant sources when it comes to PFAS emissions