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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 3 days ago
to investigate and manipulate the immune system for therapeutic gain. Specific areas of interest include, but are not limited to: Machine learning applied to immunological challenges, such as modeling immune
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. Responsibilities will include electromagnetic simulation and modeling, RF coil development and fabrication, 3D design and printing of mechanical components, laboratory testing, and evaluation of prototype systems
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models and territorial predictive analytics applied to cultural and environmental heritage, emerging risks, and participatory digital platforms based on GIS technologies. The research activity, through
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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Instructor to teach digital representation and 3D modeling software. The ideal candidate will teach students how to translate designs into clear, professional, and beautiful digital models and renderings
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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on these characteristics (and, if necessary, more advanced characteristics), prediction models will be developed, ranging from simple statistical relationships to more flexible models such as artificial neural networks
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data using appropriate software packages (e.g., Stata, R, Mplus) following open science practices. 3. Use innovative methods (e.g., causal mediation analysis, structural equation modelling) to analyse
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of engineered underground hydrogen storage in lined rock caverns (LRCs) excavated in hard crystalline rock. Your tasks are to: - develop coupled thermo-hydro-mechanical numerical models to simulate hydrogen
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energy consumption. You will investigate the complete technology stack, including device physics, photonic and electronic design, modelling, chip layout, cleanroom fabrication, heterogeneous integration