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- Universitat Autònoma de Barcelona
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Field
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computational techniques, including finite element modeling, phase field modeling, ab initio calculations, and molecular dynamics simulations. Complementary experimental work such as microscopy and
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. Candidates with expertise in combustion, CFD simulations, and engine testing are very welcome. Where to apply Website https://www.upv.es/entidades/VINV/info/1255826normalc.html Requirements Research
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-scale and field-scale experiments. Execute three experimental campaigns in the laboratory and two experimental campaigns in the field. Analyze the experimental data. Carry out CFD simulations. Disseminate
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-Interferometry for sensing and optical metrology Other relevant qualifications: -Proficiency in English -Knowledge in numerical simulation and data processing. - Willingness to travel Additional Information
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) macroeconomic models (e.g. Eurogreen, LowGrow SFC, PyMedeas) would be advantageous. Experience with ecological macroeconomic models or other computer simulation models of the economy Knowledge of post-growth
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): Motivation letter (2 pages max). CV in English (free format). Two research samples written in English (e.g., scientific papers). Contact details of 2 referees. Copy of ID/Passport. Copy of degree certificates
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resulting from these ego-network data using simulations. They will write first-authored scientific papers for international journals about these analyses and may be involved in collaborative papers of others
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the original documents a) PhD title b) Copy of NIF or NIE b) CV including the names of at least tow academic referees to be contacted The selection committee, if it deems it appropriate, may call the candidates
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(data analysis and/or modelling and/or inversions) Experience with machine learning techniques Experience with pipeline development and testing (gitlab, docker, simulated light curves…) Experience with
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to these extreme events, using stateof-the-art Bayesian hierarchical models and artificial intelligence techniques • Analyse sets of climate model simulations to uncover crucial insights into the link between