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of high-current power converters. Designing circuits, prototyping and testing in the lab. Any candidate who: has a good grasp of various power circuit topologies for DC-DC converters; is familiar with power
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of solvers for stochastic optimization problems, and test the methods on real-life data. As part of the PhD you will be following advanced courses to extend your skills, implement and test algorithms, and
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to: Design and conduct research projects in collaboration with the supervisory team Examine and analyse data on startups supported by BII Collect and analyse additional quantitative and qualitative data from
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- and plant-associated bacteria that express “anti-virulence” activities, and test how these bacteria may limit Pseudomonas syringae infections in plant experiments. You will furthermore characterize
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, laboratory testing and data augmentation. Your main goal will be to develop predictive models for assessing the degradability of bioplastics, facilitating a transition to more sustainable materials. More
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achieve a substantial 30-50% reduction in associated energy consumption. The new system developed in this project will be tested in different climates across Europe. You will have the opportunity to join
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control; winch-kite interactions; testing and experimental validation of algorithms through flight tests with Kitemill. The primary host, Kitemill, is a frontrunner in the development and deployment
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aggregation starts and propagates via phase separated condensates — by developing dynamic, life-like experimental frameworks in test-tubes. The research also aims to challenge existing decades-old kinetic and
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limited to: Machine learning techniques for design of fiber-optic communication systems Development of physical system models and data driven model Realization of experimental procedures for test of
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Job Description Do you want to be part of a team that is developing novel tools to create genetic medicines and better model systems to test them? Then join the Precision Medicine Technologies Lab