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without reliance on vision. The work will combine auditory perception models, predictive processing and flight control, validated through simulation and experimental flight tests on an embedded GPU platform
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to design, conduct, and analyse controlled experiments, both in simulation and with real sensor data. Experience with FPGA design for signal processing applications is an asset. What we offer We offer a
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electrochemical processes for power-to-x-to-power purposes. The team aims to improve the controllability, flexibility and energy efficiency of the reactions through electrocatalyst and electrochemical-cell design
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will investigate the isolation and bioproduction potential of specialised N₂-fixing purple phototrophic bacteria (PPB). You will systematically study how process conditions affect PPB growth, composition
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is to develop RL controllers that can learn from data while guaranteeing stable and safe operation in complex, nonlinear systems such as chemical plants and energy processes. By validating the approach
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the largest FTD and AD patient-control cohorts, including neuropathologically well-characterized patient subgroups. The project will further leverage large publicly available and in-house generated single
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applications which is hindered by the lack of a molecular understanding of their formation process. This is particularly true for zeolite synthesis which is characterized by a very complex reaction network in