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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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learning solutions as well as the challenges of using neural networks as representations of quantum states. You will be given an increasing amount of scientific freedom supported by structured mentoring
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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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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