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consisting of PhD-level scientists, graduate students and undergraduate students and across multiple institutions (Khalifa University, Cornell University). Applicants must have a PhD in Bioengineering or
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winning combination of knowledge and passion for technology, software, and exemplary customer service. You will have a solid technical foundation and the ability to translate complex tech issues into user
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for various biomedical uses. The candidate will work in a multidisciplinary environment composed of PhD-level scientists, doctoral students, and full-time researchers. Applicants must hold a Master’s degree in
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technologies degrees; (b) strong programming and software engineering skills, and machine learning experience; and (c) some research publication experience. Knowledge of Arabic language is preferred, but not
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of Principal Investigator Dr. Yaw Nyarko. The ideal candidate will have experience using statistical software (STATA and Matlab), have strong writing skills, and be knowledgeable of the research projects in CTED
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beyond. To further this vision, MBZUAI is launching its first Undergraduate (Bachelor’s) degree programs next academic year and is actively hiring Teaching Faculty. Meanwhile, our Master’s and PhD programs
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. To further this vision, MBZUAI is launching its first Undergraduate (Bachelor’s) degree programs next academic year and is actively hiring Teaching Faculty. Meanwhile, our Master’s and PhD programs continue to
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. To further this vision, MBZUAI is launching its first Undergraduate (Bachelor’s) degree programs next academic year and is actively hiring Teaching Faculty. Meanwhile, our Master’s and PhD programs continue to
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Teaching Faculty. 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
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(Bachelor’s) degree 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