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hydrogen into valuable fuels. Sulphide materials remain underexplored despite their highly promising optoelectronic properties, and this programme seeks to unlock their potential by precisely controlling
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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durable, a quality that is also their downfall: they are difficult to recycle or even simply convert using energy-efficient chemical processes. More effective methods for processing existing plastics
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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dedicated to developing sustainable polymers and materials via visible-light-driven processes. The core focus of this role is the design and synthesis of novel, recyclable polymeric materials using low energy
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We are looking for a highly motivated neuroscientist or engineer as a Postdoctoral Researcher to join the Liebscher Lab (https://sysneuro.i-med.ac.at), where we investigate how neural circuit
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, Control Engineering and Intelligent Systems is an interdisciplinary research group of the Institute of Computer Science and Applications (iiiA) of the University of Girona (UdG). The main research activity
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related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks. The Land-Atmosphere Feedback Initiative (LAFI, https://lafi-dfg.de ) is an
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Collective cell migration, a key process in living systems, remains largely underexplored in the intermediate-density subconfluent regime, where cell clusters coexist with isolated cells, as is often the case
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of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power