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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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A well-qualified candidate should: (1) be passionate about research; (2) have a PhD degree in Chemical Engineering or Chemistry, or at least, have submitted PhD thesis; (3) be an expert of chemical
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current and emerging trends in data science. Committee Membership: Participate in the DFM research committee. Qualifications Educational Background: Master’s or PhD in Data Science or a related field
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other tasks required by the principal investigator. Job Requirements • A PhD within the fields of computer science, learning analytics, engineering, statistics, mathematics, construction management
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REQUIREMENTS AND APPLICATION Qualified candidates must have a PhD and/or M.D. degree in relevant fields, and an established record of research excellence that is internationally competitive for their career
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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minimally a PhD in engineering/science, or a closely related field. They should have extensive industry and/or academic experience in their relevant fields. Hiring Institution: NTU
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requirements.- Maintain comprehensive documentation for audit and review purposes. Requirements - PhD in Science, Engineering, Business, or a related discipline; Masters' qualification may be considered on a
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Education Director and/or LCPC Executive Director Qualifications PhD or Master’s Degree/Medical Degree with at least 4 years of relevant experience. Prior experience in educational approaches and teaching
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Research Fellow under a new programme centered on the culture and politics of social media discussions. Job Description* As a Research Fellow with the SMOL project, you have demonstrated an exemplary track