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transition time. Job requiements The successful applicant will have: Completed a PhD in the area of stochastic processes prior or very close to the start date, A profound knowledge of probability and
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enhance human-computer interaction and improve our understanding of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU
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for plastics using mechanochemistry. You will enter a relatively unexplored field of chemistry together with an expanding team of 5 PhD candidates and an experienced postdoc. The core objective of this project
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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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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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solution(s) (hardware + software) could address such limitations? Please structure your research proposal highlighting how you plan to capitalise on your previous work and experience. . In particular, you
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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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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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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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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