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Field
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integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and present research results from the project on conferences. Collaboration with
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dynamics for shape change. A further aspect of the project is learning and calibrating these models from data using data-driven inference methods. Who we are looking for Required qualifications A doctoral
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higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. This postdoctoral position will have
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written proficiency in English Proven ability to lead and co-author scientific publications We are particularly interested in candidates, who are willing to learn new methods and perform interdisciplinary
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strategies: Leveraging traditional and causal machine learning approaches to determine which patients are most likely to benefit from specific therapies. Digital pathology and image-based analyses (starting
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weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. Detailed
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applications, and publish research results in peer-reviewed journals. Qualification requirements The applicant is required to have a PhD degree in a field relevant to circular business models, digital
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. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose
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learning. The centre offers a lively academic environment where colleagues from many parts of the world come together: doctoral students, postdocs, lecturers, and researchers work here in an open
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to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a