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Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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of the Danish language will facilitate the interaction with the stakeholders. As a formal qualification, you must hold a PhD degree (or equivalent) preferably in Environmental Engineering. We offer DTU is a
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to work at the intersection of physics, artificial intelligence, and research software engineering, and is eager to contribute to the team effort of developing a robust, transparent, and sustainable
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to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
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More information about DTU Biosustain: www.biosustain.dtu.dk CPE group: https://www.biosustain.dtu.dk/research/research-areas/natural-products/computational-protein-engineering If you are applying from