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unpredictable operational conditions. The successful candidate will have a solid foundation in AI methods for predictive and/or proscriptive problems and will demonstrate the ability to use this background
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integrating machine-learning techniques with experimental datasets on bioplastic degradability. You will work to establish links between polymer features and degradability through mapping of existing data
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Job Description SDU Innovation and Design Engineering (IDE) as part of the Department of Technology and Innovation (ITI), Faculty of Engineering (TEK) at the University of Southern Denmark (SDU
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WBG devices, including GaN and SiC, designing them for superior efficiency and performance. Our goal is to create next-generation solutions that tackle key challenges in the semiconductor industry. We
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enrolled in part A of the 4- or 5-year schemes you will receive a SU PhD Scholarship according to the rules set out in the State Educational Grant and Loan Scheme (SU). In addition, you will be offered
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Job Description SDU Mechatronics and the Centre of Industrial Mechanics, part of Institute of Mechanical and Electrical Engineering and the Faculty of Engineering at the University of Southern
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dissemination Reflections on ethical aspects related to the project Evaluation Criteria Research quality and feasibility of the project Relevance of the project to STEPS' overall purpose Project's plan
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and defend a PhD thesis on the basis of your project We are looking for the following qualifications: Professional qualifications relevant to the PhD project Relevant publications Relevant work
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collaborations have been and are developed through interdisciplinary co-operations. Thereby, as an employee at the department, you will become a part of an international research environment, where the focus is on
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to the core research areas of the Department of Economics: Behavior, Incentives and Economic Design Design Employment and the Functioning of Labor Markets Economic research that makes use of AI or machine