518 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" PhD research jobs
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expected to teach one course per semester, with no additional research or service obligations to the department, allowing the scholar ample time to pursue their own research agenda. Candidates must have
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basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed
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% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
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psycholinguistics and education. You will join a vibrant research community, working closely with Dr Bernabeu while integrating into the wider Learning in Families through Technology project. We offer a high degree
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change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Underfill Statement This is posted for Research Assistant Professor/Research Associate
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harmonize datasets across institutional and external sources (e.g., advising, curriculum, learning platforms, labor-market data), including secure handling and anonymization when needed. AI/agentic system
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of “Research Assistant” for a research project related to statistical learning of time-series models. The successful candidate will work with Hemant Tyagi (NTU Singapore) and Chew Lock Yue (NTU Singapore) in
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than English, and/or ability to quickly learn Yiddish Strong knowledge of theoretical syntax, preferably with experience of analysing naturally occurring data Familiarity with R or comparable statistical
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/or Python. Willingness to learn unfamiliar tools as needed (e.g. GitHub, APIs, dispatch models). Familiarity with econometric techniques, especially panel data methods. Clear, concise written and
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impact locally and globally. We are committed to fostering a welcoming environment for students, faculty, and staff. We believe that diversity (of experiences, thought, etc.) enriches our learning