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innovation (Track B). Note: Digital and commercial innovation should include emerging technologies (e.g., artificial intelligence, spatial computing). “Responsible innovation” is to be defined by the candidate
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more than 20 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied
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, especially the medical sciences; history of philosophy, especially German idealism; epistemology; ethics, including applied ethics; metaphysics; philosophy of technology, especially artificial intelligence and
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computational biology with a strong focus on development of computational and statistical methods, particularly within machine learning and artificial intelligence. The applicant must have earned a PhD degree and
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development and discovery Cell biology and imaging Plant development and cell differentiation Phytohormone regulation Structural and functional biochemistry We also welcome applicants who apply artificial
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. Expected qualifications A master’s degree in cognitive science or psychology. Substantial Knowledge and experience in artificial intelligence (AI) and natural language processing (NLP). Good statistical and
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research group "AI and big data in Radiation Oncology" (read more about the group here: https://www.en.auh.dk/departments/the-danish-centre-for-particle-therapy/research/research-groups/artificial