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multidimension space SoC/SoT/SoH, with significant lifetime extension as a consequence. Due to the complexity of the physical models, AI is largely used for both states’ estimation, prediction and online
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physical models with pervasive data. It combines three key areas of research: optimization(encompassing multi-objective optimization, dynamic programming, and reinforcement learning), safety and resilience
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We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound foundation, that enables trade-offs between
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" and the PhD Student will be positioned to the section for“Thermal Engineering”. The ideal candidate must have a solid background within chemical, process, environmental, energy engineering or similar
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Torralba . This project will introduce a new concept to guide the planning process: Contrastive Analysis. The key idea is to give AI planning tools the ability to understand what the advantages and
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relevant Master’s programme, such as Chemical Engineering, Chemistry, Condensed Matter Physics, Materials Science or similar. The integrated stipend consists of two parts, A and B. During part A you are
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the process of conducting and completing your PhD project, you will have access to a range of different PhD courses. Some will be of specific scientific relevance to your own project, while others will be of a
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process etc., please contact Lene Møller, e-mail: [email protected]. Wages and employment Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021
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information about the application process etc., please contact Vigdis Skomager-Bohnfeldt, e-mail: [email protected] , phone:+45 9940 7408. Appointment and salary In addition to the applicable salary and
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legal experts to push this process forward with a focus on supporting the use of synthetic health data in academic research, enabling all parties with the space and support to understand each others