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receive a mobility credit to participate in conferences. Applicants must have a PhD in Mathematics, with a strong background in one of the advertised topics, as well as an excellent academic record
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multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have a BS (MS preferred) in an engineering or biomedical-related discipline, two years
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-impact translational projects. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students, and undergraduate students, ensuring the candidate learns
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Science, Economics, Mathematics, Statistics, or related fields. Proficiency with the statistical analysis software STATA is mandatory. Proficiency in LaTeX, including the ability to create and format documents, is
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, Advertising & PR, Communication, Branding, or a closely related discipline (Required) A PhD/DBA in a related field is preferred (Desirable) UK-issued postgraduate or doctoral qualifications are an advantage
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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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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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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. 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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(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