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Field
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optimize composite materials that can significantly enhance the efficiency of wastewater purification processes by leveraging the piezocatalytic phenomenon an emerging technology with great potential
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FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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related field. - Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. - Life Cycle Assessment (LCA): experience with, e.g., Brightway2, Activity Browser or SimaPro
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environment,- you would like to focus on research and practical work with optimal number of classes,- you want to gain knowledge and skills necessary to have impact on the world,- you want your answer
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have proven experience in stem cell biology and advanced cell culture, ideally including work with human induced pluripotent stem cells (hiPSCs) and their differentiation into neuronal lineages
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(ECLECTX team). This person occupying this position is planned to work on modeling computing elements, established and emerging, at different levels of abstraction, design and development simulation tools
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) or closely related field. Process simulation : Aspen HYSYS/Plus. Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. Life Cycle Assessment (LCA): experience with, e.g
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the evaluation, the intensification and the optimization of carbonation (biotic and abiotic) processes involving different feedstocks, to address three different applications of industry decarbonation, in straight
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for food, feed, and fiber handling and storage. Apply mathematical modeling and scientific principles to optimize operational performance. Collaborate with faculty, graduate students, and industry partners