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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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of Cologne (6 months), and at the optimization software company MOSEK (1 month) in Copenhagen. At the University of Cologne, the secondment will be supervised by Professor Frank Vallentin. The CentER graduate
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and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks and urban infrastructures interdepend and co-evolve, and to
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. DOCTORAL CANDIDATE DC6: PROJECT TITLE. Synthesis and optimization of mRNA and Glyco-Lipid NanoParticles for targeted mRNA delivery. PROJECT. The PhD project will focus on: 1) Design, enzymatic synthesis, and
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CHP units, the wider energy system risks losing a crucial flexibility resource. Through strategic integration hybrid energy storage systems with greenhouse operations via optimization methods, control
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Optimization: Mathematical Phylogenetics During this project, you will work on fundamental graph-theoretic and algorithmic problems in mathematical phylogenetics. Job description The Discrete Mathematics and
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equations (PDEs). The position is funded by the Dutch Research Council (NWO) via the Vidi research project Optimal adaptive space-time boundary and finite element methods. The project focuses on the design
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of adaptive methods for time-dependent partial differential equations (PDEs). The position is funded by the Dutch Research Council (NWO) via the Vidi research project Optimal adaptive spacetime boundary and
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and tires. The use of such fibers requires new compounding strategies to optimize compound performance. In the proposed study, both dipped and undipped short-cut fibers will be incorporated into tire
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particular connectivity within and between complex system? Would you like to apply efficient AI techniques for adaptive configuration and optimization of industrial communication networks to enhance