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, socio-spatial inequalities and real estate applying quantitative, qualitative and mixed research methods. Our ideal candidate should have: A PhD-degree (or nearly finished) in the field of economic
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education. Specifically, the tasks are: Design, implement and validate a tool to collect and analyze learning demands of learners. Design, implement and validate a modular software architecture that can
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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relationships. More details on the specific project goals will be given at the beginning of the project. The expected outcome of this project is to develop an accelerated theoretical and experimental method
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neurosymbolic AI to extract information from unstructured text. Use NLP methods for modelling narrative text. The focus on each of these tasks can vary based on the expertise of the applicant. The University
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outcome of this project is to develop an accelerated theoretical and experimental method for the evaluation of polymer aging with different chemicals. The project will be executed at the University
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this knowledge and experience in education, business development, and research. The candidate has: A PhD in the area of accounting, controlling, reporting, or auditing, preferable with a focus on sustainability
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should have: - A PhD in Finance or Economics, or being close to completion. - Teaching experience and good teaching skills, in finance. - Research papers in the area of finance, with the potential to be
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: A PhD in Finance or Economics, or being close to completion. Teaching experience and good teaching skills, in finance. Research papers in the area of finance, with the potential to be published in top