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/Optimization research group within the Department of Mathematics. The successful candidate is expected to establish a research and teaching focus in optimization. The Department is looking for a candidate with
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“Circular Bioengineering” aims at the design of bio-based materials that are sustainable, efficient, and waste-free. In Program 4 “Circular prospects” novel processes and materials are investigated in
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systems and processes to enhance product quality, increase flexibility, and improve resource efficiency. These methods are applied accross a broad range of industrial domains such as mechatronics, robotics
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providing comprehensive assistance with advanced technologies, and an optimized laboratory infrastructure that facilitates safe, efficient, and innovative research. At ISTA's Chemistry Support Facility
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experienced chemists, the CSF’s mission is to enable world-class research by providing comprehensive assistance with advanced technologies, and an optimized laboratory infrastructure that facilitates safe
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of employment: 3 Years Hours of employment per week: 40h Responsibilities: Development, characterization, and optimization of polymer recyclates from post-consumer recycling (PCR) and end-of-life vehicles (ELV
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mechanisms that control meiotic chromosome organization and homologous recombination. We are particularly interested in understanding how recombination intermediates are formed and processed, how meiotic
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well as the associated hardware and software systems. In addition, you will collaborate with the researchers at the center to develop and optimize robot-assisted fabrication processes for innovative manufacturing methods
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connection with uncertainty or data science. Specific fields of interest include, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty
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of interest include, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty quantification, model order reduction, data assimilation, optimal control