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integrates OLA production of liposomes, trap arrays, local light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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that will provide high-level requests to be executed. The autonomy concepts must consider the availability of different types of sensors (optical, lidar, inertial measurement unit, etc.), the criticality
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, you will gain valuable insights into the fundamental mechanisms shaping the future of recycling technology. Embrace the array of cutting-edge spectroscopic and analytic techniques (e.g., EPR, SEC, Raman