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Field
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Leader Requirements Essential & Desirable Knowledge, Skills and Experience: A PhD (or equivalent) in a relevant scientific discipline (e.g. Biology, Chemistry, Engineering, Computer Science) Strong track
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at the intersection of AI, NLP, and industrial applications. Contribute to the development of scalable and interpretable AI tools for real-world deployment. Qualifications: A PhD in Computer Science, Machine Learning
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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developments in artificial intelligence tools and technologies are blurring the lines between human and computer generated. In the last few years, we’ve seen a number of online avatars used by various companies
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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, organic chemistry, synthetic biology, computational chemistry or biology, materials science, human cell biology, physiology and pathology, biophysics, device engineering, biomedical engineering, nanoscience
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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming