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Field
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waters. The proposed work can address any range of spatial and temporal scales, from microbial to global, but must cover questions related to reducing uncertainties in warming feedback on methane, provide
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-utility analysis and return on investment. Working with partners and end users, the postholder will interrogate available data, address the uncertainties faced by decision makers and ensure that analyses
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Researcher will work in Professor Benjamin Peherstorfer’s group (https://cims.nyu.edu/~pehersto/ ) on scientific machine learning at the Courant Institute of Mathematical Sciences where they will help
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ORIGINAL – IN CASE OF DOUBT THE PORTUGUESEVERSION PREVAILS ___________ Obs.: The models of the grant contract and of the final report to be prepared by the grant holder and the supervisor are available
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navigation: visual odometry, map-matching, terrain-based localisation Mission planning for autonomous robots: hierarchical task networks, re-planning under uncertainty Proficiency in Python/C++ and experience
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development activities in the GeoGuard project (https://geoguard.hw.ac.uk) spanning reservoir characterisation, subsurface simulation modelling, well engineering design, and reservoir stimulation assessment
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past datasets within the URBank (https://urbank.earth ) initiative. The full-time position will be for a period of 3 years, with the possibility of a 1-year extension, and based in Jena, Germany. The
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for geophysical flow modelling, uncertainty quantification, and high-performance computing. Its work relies on both deterministic and statistical approaches. The objective of this PhD project is to develop a new
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under uncertainty. The role will suit a researcher with strong technical capability in quantum computing, data-driven modelling, infrastructure systems, computational optimisation, simulation
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includes the Dean’s office, a StudyServiceCenter and four Departments (see https://univie.ac.at/psychologie) . The courses offered in Psychology includes a bachelor's, master's and doctoral studies