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Field
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. The position combines offshore fieldwork, laboratory analysis and modelling, with clear pathways to publication and impact. The outputs of this role will directly inform MOSAIC’s coordinated conservation
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 4 days ago
the most significant microscopic parameters for the homogenized response Develop and train machine learning models to estimate the homogenized properties from such parameters Document research findings
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following use cases: • The construction of a machine learning pipeline that allows the conversion of Course Unit Sheets (CUS) into a data structure based on the European Learning Model (ELM). • Integration
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/phd-research-fellowship-in-volcano-climate-modelling Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294729/phd-research-fellowship-i… Requirements Research FieldGeosciences
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effort of numerical modelling, both fluid (extended MHD) and particle oriented, are combined with high quality observations taken at ground-based and space-based observatories to produce models
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-high-resolution models to test whether the discrepancy is primarily a consequence of insufficient realism in earlier modelling. A central part of the project is quantitative validation of simulated
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topics such as statistics, high performance programming, machine learning and using data to constrain cosmological models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial intelligence models. The PD will work closely with both the PhD candidates and PIs within
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 8 days ago
. The work will include the analysis of radiation levels using realistic laboratory interaction models (interaction chamber, walls and laboratory dimensions), taking into account the spectrum and divergence
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis