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modeling tools and HDL simulators to validate functionality. Collaborate closely with algorithm designers to co-optimize architecture. Publish results in high-impact journals and conferences. Qualifications
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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these frameworks to develop specific formulations and solution algorithms for the design of congestion pricing schemes using classical transport models and quantify the equity-efficiency trade-offs for congestion
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porous carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects
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Job Description We are looking for a motivated PhD candidate to explore how fish distribution and habitats are linked across coastal and offshore waters in Denmark. The project focuses on improving
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, including about 50 PhD students. More than 35 nationalities are represented at the Institute, and we support an equal gender distribution. We are located in Lyngby, Hirtshals, Nykøbing Mors, and Silkeborg and
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). Software Architectures with a particular focus on Microservices and Distributed Systems Generative AI-driven Software Development and Maintenance Empirical Software Engineering Mining of Software
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relation to having the optimal phase development during hardening, as the volume distribution of the phases and the molecular structure are not entirely optimal. Since we want to contribute to a circular
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market frameworks and business models for fair value distribution will be analysed. Responsibilities and qualifications Your primary research tasks will include: Develop and simulate coordinated control