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Imagine a world where food production is in harmony with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems undermine
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for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime
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developing and enhancing interdisciplinary collaboration both internally and externally. The latter with both national and international partners. Your profile The position requires a solid background in
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. At our department, which conducts research at the highest international level and offers several high-quality
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respective training course. Taking initiative comes natural to you. You are a team player with excellent communication skills. You are fluent in English, both orally and written. You are motivated to work in a
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AI, human-AI collaboration systems, computer vision (CV) models, and natural language processing (NLP) models. Candidates with expertise in any of these areas are encouraged to apply, as the position
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preliminary idea for a PhD project. A reference check will be part of the application procedure. The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates
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. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality. NTNU
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in English, upon decision of the Chairman. V.2.2. Candidates who fail to attend the interview at the set time and place shall be excluded from the tender procedure. Similarly, candidates failing
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
: we are conducting research on physical one-way functions , reproducible physical processes that generate measurable outputs from input parameters, but for which solving the inverse problem is difficult