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strategies to produce and process plant-based foods with enhanced concentration of micronutrients. Development of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will
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than 1,800 employees and nearly 21,600 students. Under the research subject Process Metallurgy at the Department of Civil, Environmental and Natural Resources Engineering, we are looking for two Ph.D. students
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multiphysics approach integrating, within consistent formulations, the effects of microstructure, fluid-structure interactions, and dissipative processes such as viscoelasticity and damage, in a physically
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, science, engineering, and mathematics applications used in computational computing environments. Supports management, tuning, operating systems, parallel file systems, automating deployment of compute nodes
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optimize machine learning training and inference pipelines for accelerator-based systems Apply systems- and compiler-level optimizations, including: Loop transformations, vectorization, parallelization, and
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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where their collective research will focus on many different aspects to include investigations on bio-accessibility and bioavailability of micronutrients, and strategies to produce and process plant-based
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, high-speed parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. Students will have
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of requirements, architecture and design of secure, scalable, asynchronous, agentic systems, based on knowledge of principles of API design, asynchronous processes, service deployment and delivering highly