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materials. 4. An established network for collaboration in materials characterization, device fabrication, and application development. 5. Independence, initiative, and strong time-management, planning
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evaluation of complex implementation programs aligned to national priorities Translating research into policy, practice and system-level impact Providing expert advice to government, industry and community
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to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes relevant
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, recovery and separation of supernatant, and drying process. Support AI‑enabled data analysis, including collaboration on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing
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international research proposals. Collaborate across disciplines within Mission Mjøsa and relevant external research networks. Strengthen NTNU’s position within digital twin research, semantic interoperability
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to the transition towards net-zero carbon emissions? The group of Prof. Anqi Wang at KAUST is recruiting several postdocs to join our dynamic team. Our research is highly collaborative and interdisciplinary
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commercialisation in the UK of AI-empowered autonomous machines and systems which are envisioned as transforming manufacturing productivity and sustainability, enabling a net positive future by empowering people
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at Kjeller, Lillestrøm. Job description The Martian atmosphere is a dynamic system, shaped by complex physical and chemical processes operating across a wide range of timescales. This PhD project will
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dynamic system, shaped by complex physical and chemical processes operating across a wide range of timescales. This PhD project will investigate dynamic phenomena and processes in the Martian atmosphere
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verbal communication skills. • Experience in teaching relevant subjects to university students. • Able to communicate complex and conceptual ideas to a range of groups. • Able to balance the pressures