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models that were developed in the Rapid Reservoir Modelling software. Develop an experimental design to quantify how reservoir properties and engineering parameters impact the recovery rate and overall
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data. Perform numerical simulations of subsurface hydrogen storage including chemical reactions for an ensemble of geological models that were developed in the Rapid Reservoir Modelling software. Develop
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(hybrid) quantum computing, reflected in demonstrable outputs, for instance, by a relevant PhD thesis and/or publications. Proficiency in Python and quantum software development kits (e.g., Qiskit
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the quantities characterising the stochastic nature of this phenomenon, such as the average and the distribution of the random transition time. Job requiements The successful applicant will have: Completed a PhD
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several key academic and industrial partners. You will be part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group
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part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group. Curious to learn more about the project, and perhaps our
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from advanced centrifuge tests with numerical simulations. We are looking for candidates with a PhD in geotechnical engineering and proven experience in numerical modeling of offshore foundation systems
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staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group. Curious to learn more about the project, and perhaps our group? Feel free to browse our webpages: Job requirements For
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(TUE), CWI, IMEC and Delft University of Technology. You will be part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using