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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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: Understanding of the principles of atmospheric modeling, particularly using WRF-Chem. Knowledge of the physical and chemical processes simulated in the model, including cloud microphysics and interactions with
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About us: The Faculty: The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in
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, mathematics, statistics, physics, molecular biology, microbiology, ecology, or systems biology – or an interest in gaining experience in these areas. Personal qualities such as collaboration, communication
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Foundation, use modern web technologies and evidence-based educational approaches to improve STEM education. The platform provides online learning resources to improve physics, mathematics, chemistry, biology
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
institute of the Rennes University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and
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) or doctoral degree (Postdoctoral position) in Engineering, Mathematics, Physics, Computer Science, or a closely related discipline. Strong background in mathematical modeling, numerical methods, scientific
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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. ● Experience with light (including fluorescent) microscopy. ● Demonstrated scientific creativity with laboratory experiments. ● Demonstrated knowledge of the mathematical and physical principles of microscopic