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that advances foundational research, responsible innovation, robust governance and broad capacity building. AI LEARN is a consortium comprising of 31 national and international partners from academia and the
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mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. AI LEARN is a consortium
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intelligence—humans and machines working and learning together. Our mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust
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Technology » Energy technology Environmental science Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 31 Oct 2025
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the Section for Ethics and Health Economics (ETØK). The position is part of the project “Strengthening health and disease modelling for public health decision making”, funded by the Wellcome Trust. The project
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. The position's field of Research The person hired will use advanced statistical tools to analyse sea ice metatranscriptomic datasets and identify interactions between and within bacterial and algal communities
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biology, field- and experimental work, bioinformatics and statistical modeling. The successful candidate will apply cutting-edge genomic tools to disentangle ecological adaptation and spatiotemporal trends
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, there is a significant need for technological advances and increased competitiveness to drive the growth of offshore renewable energies, and energy storage in the coming years. Within this context
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models to resolve blade loads and structural responses under both operational and extreme conditions, including scenarios with partial out-of-water exposure Uncertainty quantification to ensure robust and
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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources