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aims to develop a novel theoretical framework for nonlinear and robust control of dynamical systems from a phase perspective. You will have the opportunity to freely explore multiple research directions
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal
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on the expression but also the dynamic interaction of the key proteins for the endocannabinoid signalling and to target these systems in a cell-type specific manner to test whether their modulation might counteract
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aim to visualize the endocannabinoid system using advanced chemical tools focusing not only on the expression but also the dynamic interaction of the key proteins for the endocannabinoid signalling and
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juggling multiple tasks; Stay enthusiastic and motivated when things get difficult and sometimes handle difficulties with some pragmatism; Communicate research findings clearly to both academic and non
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a cool head and stay organized when juggling multiple tasks; Stay enthusiastic and motivated when things get difficult and sometimes handle difficulties with some pragmatism; Communicate research
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will inform future race strategy and live race tactics. Multiple factors influence the strategy and tactics in professional road cycling, and these have changed significantly since the COVID-19 pandemic
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conditions, trip characteristics, and user preferences. Defined routes trade-off multiple criteria, where the exact importance of each objective is user dependent, and can be learned and improved over time
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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” and “Smart Mobility” (Google Scholar), he has received multiple prestigious international awards, including the IEEE CASE Best Conference Paper Award, INFORMS QSR Best Student Paper Award, and INFORMS