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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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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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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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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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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
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activities, coded as Action Units(AU) in a facial action coding system. Based on existing datasets, this PhD project will strive to automate this process. First, the focus will be on research and development
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, please contact head of department, professor Michael Baggesen Klitgaard at [email protected] For general information about the application process etc., please contact Lene Møller, e-mail: lml
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science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a
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part of the SAFEMig Project. The project aims to develop efficient and safe RL algorithms with provable guarantees. An autonomous system uses its senses(physical measurements) to learn about a physical