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Field
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methods for the modelling and causal analysis of mass transit systems. The research will focus in particular on the development and application of data science methods to address key challenges in capacity
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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas
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Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
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methods (e.g., variational autoencoders) applied to biomolecular dynamics data. ● Familiarity with elastic network modeling (ANM/GNM) or the ProDy software package. ● A track record of independent
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of single-cell analysis methods to investigate quiescence at individual cell and population levels. Where to apply E-mail [email protected] Requirements Research FieldBiological
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regional agencies, a robust methodology for designing flood-retention basins and dams. We are looking for a candidate to test and develop statistical and simulation-based methods for estimating design floods
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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the assigned component within the 33-month timetable, in consultation with the Principal Investigator. Conduct primary and secondary research using the methods specified for the component, including