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predictive digital rock physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated against experimental observations Bridging scales
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Manager, the system adapts permissions on the fly. You will also develop compliance-aware guidance and tooling, link authorization to regulatory duties via a checker, and ensure provenance and lifecycle
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Manager, the system adapts permissions on the fly. You will also develop compliance-aware guidance and tooling, link authorization to regulatory duties via a checker, and ensure provenance and lifecycle
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experimental testing. You’ll design and run experiments, write and train algorithms, and contribute to open-source tools that may one day become industry standards. This project offers the freedom to explore
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of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering. Our work will be informed by sound theories and supported by empirical data. In
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of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering. Our work will be informed by sound theories and supported by empirical data. In
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, hardware prototyping, compiler design, simulation and emulation tools, as well as cybersecurity, reliability, and system verifiability. The objective of this PhD project is to develop a gain-cell memory
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in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD meshing software. TU Delft (Delft University
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recommended. Other valuable skills include: Experience in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD
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in a safe environment. Note: In December, we offer our PhD Virtual Open House Day. If you are interested in our PhD program and consider applying, we invite you to join us on December 9 from 9.30 am