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join a consolidated research group at the University of Oviedo. The work will include experimental characterization and numerical modelling of structural materials with applications across various
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numerical simulation and data processing. Willingness to travel Additional Information Website for additional job details https://www.uji.es/seu/info-adm/tao/convocatoriesRH?pConv=3326&pCategoria=14 Work
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Inverse problems and statistical signal processing Knowledge in optical sensing methods LanguagesENGLISHLevelExcellent LanguagesSPANISHLevelGood Research FieldEngineering » Communication engineeringYears
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analysis. Methods and algorithms including visualisation and reporting tools. Geotechnical, structural and mechanical characterisation of rock from drilling signals. Calibration and interpretation on rock
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written and spoken At least 1 year experience in similar fields Additional Knowledge and Professional Experience Experience with revision control systems (e.g., SVN or Git) Experience in numerical air
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Sebastián (Spain), and at the University of Antwerp (Belgium). The work will involve the development of methods for nanoparticle growth in flow reactors, including in situ growth in an electron microscope
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
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, fluorescence screening, RNA footprinting and computational methods to study the atomic structure and dynamics of the RRE, identify new antiviral candidates and guide the optimization process. The publication
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: Integrate uncertainty estimation (ensembles or evidential methods) to prioritise new calculations and improve data efficiency. Integration: Export learned Hamiltonians to downstream simulation tools for band
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biological datasets (e.g., next-generation sequencing, proteomics, imaging data). A solid understanding of statistics and data analysis methods. Ability to work independently and take initiative and solve