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multiple scales, while Multiobjective optimization strategies ensure improvements in efficiency across various biomanufacturing scales. Expected results: 1) Development of innovative bio-based production
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About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
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PhD Research Fellow in Optimized monitoring of patients with primary adrenal insufficiency (DC1) at the Faculty of Medicine, University of Bergen, Norway PhD-position at the Faculty of Medicine
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: For applications requiring short packets / low latency, it is important to obtain tight bounds for the optimal secrecy rate in finite blocklength. Building on the theoretical breakthrough by Polyanskiy
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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: Hormone Dynamics of the ENDOTRAIN network and focuses on optimizing the diagnosis of primary aldosteronism using real-world, continuous physiological and hormonal data streams based on chronobiologic
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performed in two research labs: the Digital power and energy systems lab (EES DigiPES lab) and the Electricity markets and power system optimization lab (EES EMPDO lab). The former focuses on intelligent
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The group ofSebastian Stich works on the design and analysis of optimization methods
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manufacturing and materials for extreme environments. Generate original research ideas and lead innovative projects that result in multiple high-impact publications annually. Mentor doctoral students and engage
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and