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vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics. Experience in deep learning, computer vision, or neural
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. Strong background in machine learning and AI, with demonstrated experience in at least one of: computer vision, recommendation systems, decision-support systems, explainable AI, or LLM-based reasoning
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independently. Merits: Education or training in computer vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics
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between biology and artificial intelligence. Strong collaborative skills, analytical ability, and the capacity to work independently. Merits: Education or training in computer vision, machine learning, deep
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. Teaching skills. Additional assessment criteria: A strong ability to develop and conduct high-quality research independently. Experience using deep learning methods and computer vision with biological data
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on animal behaviour and welfare in pigs, where behavioural science is integrated with artificial intelligence and deep learning for the assessment of animal welfare. You will have a central scientific role in
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Job related to staff position within a Research Infrastructure? No Offer Description Job description The postdoctoral researcher will work on robot learning for manipulation, exploring state-of-the-art
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the design of antibody modalities Documented experience from cancer-related research Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies
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the design of antibody modalities Documented experience from cancer-related research Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies