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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent
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for operational decision‑making, interactive design, or control‑in‑the‑loop visualisation. Machine‑learning surrogates offer speed, yet purely data‑driven models often extrapolate poorly and may violate physical
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. However, there is limited knowledge regarding the noise-control performance of different PV technologies (e.g., monocrystalline, polycrystalline, amorphous types or monofacial and bifacial panels) and their
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. The position is particularly suitable for candidates with strong skills in applied mathematics, control, physics, or electrical engineering, and an interest in dynamic systems and modelling. Experience in system
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circular economy steering and how different MCS packages – combining planning, performance measures, incentives, and cultural controls – relate to the intensity of circular practices and to perceived
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if designed accordingly. However, there is limited knowledge regarding the noise-control performance of different PV technologies (e.g., monocrystalline, polycrystalline, amorphous types or monofacial and
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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments You will work on a project on data driven control. In recent years
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 27 days ago
the Collaborative Research Center SFB 1324, which is a highly collaborative network of labs investigating the mechanisms of Wnt signaling in animal development and disease. Wnt signaling controls tissue patterning
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real-world case study. Unlike most research limited to simulations, this PhD will deploy and validate control strategies in real buildings over long periods. The supervision team is Prof. Laurent Georges