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Field
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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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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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regulatory networks associated with muscle aging, sarcopenia, and cancer cachexia. The Research Fellow will play a key role in driving computational and data-driven biomedical research, contributing
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and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language requirement: Good oral and written communication skills in English English requirements
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-disciplined with an enthusiasm for healthcare research. High level analytical capability Ability to communicate complex information clearly. Fluency in relevant models, techniques or methods and ability
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for fitting stochastic epidemic models to infectious disease outbreak data. The post will contribute to cutting-edge methodological research on Bayesian inference for complex stochastic transmission models, as
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cumulative impact assessment, related to marine or sustainability challenges Strong analytical and synthesis skills, including experience working with complex interdisciplinary evidence Experience with
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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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experience in marine technology and AI will be advantageous Knowledge about high performance computing and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language
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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