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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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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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Vacancies PhD position in Optimisation and Optimal Transport Key takeaways We are looking for a talented, research-oriented PhD candidate to join the NWO-VIDI project “SPARGO: Exploring and
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), , Logistics Overijssel and Logistics Navigators. The academic supervision team includes Dr. Engin Topan and Dr. Rob Benthuis. MULTIPLIER integrates operational data, optimization, and hybrid AI into a decision
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interdisciplinary meetings and workshops to foster knowledge exchange and innovation. Your work is vital to advancing less invasive treatment options, reducing patient recovery times, and optimizing healthcare
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the consequence of selection and the best strategy for recording traits and optimizing selection decisions. For example, breeders must carefully assess risks and the trade-offs of selection for different traits
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communities or living labs). Our studies often take place in the high-tech, health, and educational sectors with the intention to understand, evaluate, and optimize (inter)professional and (inter)organizational
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life-saving potential, yet optimal patient selection, timing, and device strategies require deeper mechanistic and clinical insight. Our program combines experimental cardiovascular research with robust
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(PICs) increasingly used in various applications. To allow a smooth design flow for these PICs, optimized compact models are needed. This PhD position is enabling compact models for optical amplifiers and
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biodegradability. You’ll systematically study the impact of molecular structural parameters on material properties and biodegradability (‘structure-degradation correlation’). You’ll also optimize light source