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(e.g. BioLector, ChiBio, etc) and liquid handling robots/automated colony pickers (ROTOR, QPix, HAMILTON). Experience within microbial molecular biology and physiology with a strong focus in non
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combination of robotics-assisted experiments and data mining in our 30 years of legacy data regarding the safety, metabolomics, and physiology of the strains. The UPCYFUN project is a unique opportunity for you
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extraordinary access to computing resources, trans-disciplinary international researchers across many disciplines within catalysis, materials and computer sciences, robotics, power electronics, and other academic
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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internationally recognized research institute within the Faculty of Engineering, known for its contributions to software engineering, robotics, and artificial intelligence. The Software Engineering section
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period of four years in total at Aalborg University. The ideal candidate has: A strong background in manufacturing engineering, management engineering, operations management, robotics, industrial
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nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics, robotics, and autonomous systems