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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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, creativity, rigor, ownership, and excitement to push research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, data management, and
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) develop dedicated representations for catalyst mixtures; 2) apply the developed representations to building predictive models for catalyst activity and selectivity; 3) employ the developed representations
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mixtures, allowing for their efficient experimental optimization. The goal of this project is to: 1) develop dedicated representations for catalyst mixtures; 2) apply the developed representations
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investigates the representation and preservation of feminist and women’s cultural heritage within India's Marathi film industry archives. We are particularly interested in projects invested in studying
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(co-supervisor) Dr Stacey Copeland (co-supervisor) Prof dr Susan Aasman (promoter) The PhD Project This PhD project investigates the representation and preservation of feminist and women’s cultural
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constructed and tested based on historical sensor data. However, due to environmental changes, over time the quality of environmental representation and the quality of trained computational models decreases
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politicians are still men. What knowledge we have about gender and inequality in politics is mainly based on counting women and men. In contrast, we do not well understand the underlying gendered norms about
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include: Advancing modeling tools for improved representation of electricity generation potential and energy demand, with a focus on the electricity and heat sectors. Utilizing a linear optimization
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dynamic and intelligent representation of the collaborative environment. Expected outcomes include new conceptual models for spatial AI in collaborative work, building on theories of Proxemic Interaction