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, equipment, and travel related to the project. Overview Deep geothermal reservoirs can provide a long-term, sustainable supply of heat and energy to serve society’s needs. The performance and operational
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, equipment, and travel related to the project. Overview Deep geothermal energy has the potential to provide a long-term, sustainable source of low-carbon heat. However, the long-term performance can depend on
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A
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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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integrating multiomics data from patient biopsies, cerebrospinal fluid (CSF), blood samples, and patient-derived xenograft (PDX) models. By combining these datasets with advanced artificial intelligence
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, equipment, and travel related to the project. Overview Deep geothermal reservoirs can provide a long-term, sustainable supply of heat and energy to serve society’s needs. The performance and operational
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
The Faculty of Engineering, Department Applied Mechanics, Research Group Thermodynamics and Fluid Mechanics is looking for a PhD-student with a doctoral grant. More concretely your work package, for
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total appointment, averaged over the course of your PhD. Job requirements The successful candidate has the following qualifications: An MSc. degree in systems and control, fluid dynamics wind energy
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procedures. Your research sits at the intersection of medical image analysis, generative AI, and blood flow modeling. You will: develop deep generative models (such as latent diffusion models, implicit neural
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philosophy and/or social studies of science and technology. The position is part of the Horizon MSCA Doctoral Network “Towards sustainable computational fluid dynamics” coordinated by the Institut National