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Details Title Postdoctoral Fellow – PKPD Modelling, Lung-on-Chip School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss Institute’s
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, Engineering, Chemistry, Physics, Earth Sciences, or a related field. Strong analytical and problem-solving skills. Experience with laboratory techniques and/or numerical modelling is advantageous. Ability
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NAME_FAMILY NAME) : https://nextcloud.univ-lille.fr/index.php/s/ezJxfSBwTjkJCnt Key words: solidification, recycled aluminum alloys, induction heating, thermal simulations, 3D modelling, mechanical testing
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Institut de Chimie des Substances Naturelles (ICSN), CNRS, UPR 2301 | Gif sur Yvette, le de France | France | 4 days ago
cluster proteins. These proteins are essential for numerous fundamental cellular processes, including respiration, mRNA translation, and DNA replication and repair. Mutations in FDX2 disrupt the formation
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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
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modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Fellow to lead the development and
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, numerate subject (such as maths and physics), including Matlab programming. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
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research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and
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interactions make direct numerical simula- tion computationally challenging. The project will examine whether modern ML techniques— such as surrogate modelling for parts of the physical process—can improve