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ministries, municipalities, consultancies, and network organizations that have a similar aim. Accordingly, the PhD candidate will work closely with both other academics and practitioners to increase
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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time, infrastructure networks reach capacity thresholds. Extending and upgrading infrastructure is challenging and limited not only because of long infrastructure lifetimes coupled with high investment
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with your supervisors, but you can work independently, investigating GaN design and pushing the state-of-the-art. Where to apply Website https://www.academictransfer.com/en/jobs/354326/phd-positions-3x