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. Your work will focus on design-space exploration and optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g., term rewriting), to algorithmic
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research Strong background in linear algebra, signal processing, detection an destimation, and optimization. Background in radar and wireless communications is desirable, but not mandatory Experience in
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Vacancies PhD Position in Last-Mile Delivery Optimization Key takeaways Key takeaways The PhD research will be performed as part of an industry funded project on optimization of last-mile delivery
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, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project
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, and stochastic optimization, embracing an interdisciplinary approach. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. More
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that balance energy supply and demand, improve electricity grid flexibility, and optimize renewable energy integration. These solutions contribute to climate change mitigation by reducing emissions and to
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subgroups with rapid disease progression or poor treatment response. This will enable more personalized treatment ultimately improving the health of thousands! Job description In addition to optimizing
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the different phases within the PhD trajectory? You can read more about this on this page . You will develop computer models to accurately predict and optimize the heat delivery by the ALBA micro8
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Optimization and Machine Learning for Hydrogen Technologies The Natural Computing Group (NACO) at LIACS, Leiden University, is seeking a highly motivated researcher to join our cutting-edge project on AI tool
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) are looking for a: PhD Candidate on Multi-Objective Optimization and Machine Learning for Hydrogen Technologies The Natural Computing Group (NACO) at LIACS, Leiden University, is seeking a highly motivated