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that could be highly valuable, for instance to consumers and patients wanting to monitor and optimize their health in a home setting, or to workers operating outside the reach of regular medical care and
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? As a machine learning researcher, you will initiate and work on innovative data-driven solutions in the bioeconomy and food domains. One example is improving fermentation screening for plant‑based
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of experimental setups. Your responsibilities Maintain, repair, and optimize electronic research setups and laboratory equipment. Analyze and resolve technical malfunctions and operational issues. Support
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firms, system operators and users to reach optimal or stable outcomes in dynamical systems with full and partial information; Computing systemic optimal interventions to improve the system performance
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confidence in the measurements and establish traceable validation routes. Optimize the methods for realistic converter operating conditions and communicate practical guidance to academic and industrial users
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities How can we combine
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catalyst structure–performance relationships. The most promising catalysts will then be optimized and evaluated under practically relevant electrolysis conditions, contributing to the development of a
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come up with jointly optimized schemes for such hybrid links and networks, incl. waveforms, modulation, coding and/or low-level protocols. You will further design and propose link architectures and
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are optimized based on plant performance and energy price fluctuations. The learned models and resulting data-driven control approaches will be designed to be more easily transferable between different
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of individual scientists are seen, by creating more differentiation in career paths, putting the emphasis on the quality of work and less on quantitative results, doing justice to the individual qualities and