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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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. 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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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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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who would like to optimize the use of real-world data (RWD
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neuroscience. has expertise in molecular and cellular biology. has hands-on experience with advanced (super-resolution) microscopy. is enthusiastic to optimize labeling strategies and quantitative analysis
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specialists and set clear priorities to realize projects effectively and on time, building infrastructure that makes complex analyses faster and more efficient. Your team optimizes virtual computing power (GPUs
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reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly circular wind energy sector