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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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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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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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. 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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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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cytometry for phenotypic and functional readouts. Culture and maintain mammalian cell lines and primary immune cells (e.g., PBMCs). Contribute to assay development, optimization, and troubleshooting Analyse
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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved
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optimally for future challenges. This PhD position is part of the SecReSy4You MSCA Doctoral Network, which focuses on developing next-generation methods for security and resilience of cyber-physical systems