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processing and statistical analysis. The PhD thesis will be supervised by two supervisors, Corentin Louis (Chargé de Recherche CNRS, Observatoire de Paris) and Baptiste Cecconi (Astronome, Observatoire de
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of the MOST (Modelling and Simulation of Turbulence) team focus on the numerical prediction of turbulent and multiphase flows with a broad range of objectives from fundamental understanding of flow properties
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 28 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position in Data Science/Bioinformatics for Marine and
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and Machine Learning Industrial Automation and Control Systems Industrial Internet of Things (IIoT) Digital Twin Technologies Data Analytics and Predictive Modelling Smart Manufacturing and Industry 5.0
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optimization in controlled environment crop production, the research group ‘CEA-Controlled Environment Horticultural Systems’, we look for an enthusiastic and ambitious Scientist (f,m,d) in the area Resource
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assimilation on weather prediction Perform data-preprocessing, quality control, error modelling and correction Write reports and scientific publications Job Requirements: PhD qualification degree in Atmospheric
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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 2 months ago
Computational Modeling for the Discovery and Characterization of New Metalloenzyme-catalyzed Reactions” Computational Bioinorganics: From Description to Prediction, John Wiley & Sons https://doi.org/10.1002
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that combines data from different molecular levels (transcripts, proteins, metabolites), aided by in silico target prediction, will enable us to uncover putative target of the compound, which will then be
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Application deadline: 31/08/2026 Research theme: Mettalurgy How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) students. The successful
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and