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) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project applicants are expected to have excellent language skills in English Opportunity
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adaptable networks. Recently we have developed different types of inherently flame retardant dynamic networks for fire safe fiber reinforced composites and self healing coatings. The proposed position will
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high levels of biodiversity. Within these projects, you will develop standard and more efficient ecological monitoring methodologies to understand how different aspects of biodiversity and/or associated
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investigate development of functional covalent adaptable networks. Recently we have developed different types of inherently flame retardant dynamic networks for fire safe fiber reinforced composites and self
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, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical university and in developing research and
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with a widely diverse group of people from different backgrounds, countries, ethnicities, genders, etc. Ability to work independently and in collaboration. Desirable: Experience with large language
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and English Self-managed way of working as well as ability to work within and collaborate with different teams We offer Excellent conditions for relevant patient-oriented research in the context
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utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood
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expenses. • The anticipated starting date for this position is September 2026, but a different starting date is possible. • Review of applications will begin on 1st November 2025, and will continue until
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system modelling frameworks to real-world challenges at different temporal andspatial scales. You will work on practical problems ranging from the design of building-level energy solutions and municipal