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. Meanwhile, our Master’s and PhD programs continue to expand, introducing new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction. Why Join MBZUAI? Top-Tier
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sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Computer Science
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Biotechnology, Biomedical Engineering, or a related field, with a minimum of five years of research experience. Demonstrated expertise in experimental and computational microfluidics, along with hands
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must hold a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a strong publication record in AI-driven energy solutions. Proficiency in machine learning
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work, the candidate will collaborate with CENTMED staff and leadership to prepare technology documentation and facilitate the translation of innovations to industry. Applicants must have a PhD in
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Statistics and Data Science, Computational Biology, and Human-Computer Interaction. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Funding
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specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
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programs next academic year and is actively hiring Teaching Faculty. Meanwhile, our Master’s and PhD programs continue to expand, introducing new specializations in Statistics and Data Science, Computational
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Qualifications This position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in
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, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Computer Science or a closely