201 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at Technical University of Denmark
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description Machine learning opens up new opportunities to accelerate the discovery of next-generation energy materials by combining predictive and generative approaches. In this project, we will develop neural
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Systems, you will work at the forefront of developing methods to unlock the value of flexible assets in the green energy transition. You will have the opportunity to transform market data and models
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qualified candidate to develop research and methodological tools to assess and to improve the welfare of farmed fish, contributing to the sustainability of aquaculture practices in the EU. We offer a 3-year
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with intelligent, data-driven emergency planning, aiming to develop robust tools for communities and authorities to prevent and mitigate the impact of natural disasters such as wildfires. Working closely
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photon indistinguishability. Improve our excitation schemes using advanced pulse carving. Supervise project students. Contribute to the development of new SPS designs. Document the research with scientific
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cells provide new means for studying human health and disease in the lab. These systems may ultimately reduce the cost of drug development and accelerate biomedical research. Multi-material 3D printing
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Job Description Are you passionate about nutrition, food safety, and the transition to sustainable diets? Do you have a strong interest in modelling and want to contribute to the development
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developed playful, creative and inclusive methods for working with neurodivergent children and their families, and conducted the bulk of data collection. The primary role of the PDRA is to support the design
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, collaboration, and knowledge sharing. You will become part of a workplace that encourages initiative and personal development, while also supporting a healthy work-life balance. Salary and appointment terms
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The National Food Institute at The Technical University of Denmark. The focus of the research group is to develop models within quantitative health assessment to be used in risk-benefit assessment, risk and