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the developed models in commercial forming simulation software and validate their accuracy against forming experiments. We are looking for a colleague who is comfortable with experimental work, has experience in
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introduced into the PhD trajectory and scientific working. You will alongside the developers of UT’s global crop water model ACEA (Mialyk et al. 2024) and improve the model’s ability to provide recurring
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-edge infrastructures, and emerging AI-driven user applications. Key research directions include: Modeling and profiling of emerging AI-based workloads and data-intensive applications in mobile networks
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models to simulate gastrointestinal navigation and refine the system’s interface and functionality based on clinician feedback. Contribute to preclinical deployment where the system will be used in early
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, or related fields Experienced, or willing to become an expert in the sustainable transformation of infrastructure and simulation models for socio-technical systems Proactive, showing initiative and able