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dissemination of a large-scale randomised controlled trial studying the effects of menstrual health interventions on learning outcomes in Malagasy public schools. Tasks include contributing to data analysis
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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improvements. In that effort, we seek a post-doctoral researcher with wet chemistry experience to support laboratory work, data analysis, and information dissemination. The researcher will work with an
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an emphasis on technology, data science and the humanities. For more details, please view https://www.ntu.edu.sg/medicine . We are looking for a Research Fellow to conduct AI for medicine research. The role
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of work for the PhD study will be on power management and conditioning of large fuel cells for maritime electric systems, with focus on efficient power system integration and controls. The candidate will
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protocol conception and carry them out; design projects in data capture systems (e.g., REDCap); develop websites (e.g., WordPress) and create web applications (e.g., R package); genomic data processing; big
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
willingness to develop additional subject-matter and regional expertise; excellent command of quantitative research methods, including panel regression, analysis of large administrative data, survey data, and
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the research project - “Large language models for computational social science and FinTech applications”. He/She will be required to: (a) study and investigate the fundamental problem for identifying
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, and statisticians—on projects that bridge methods, policy, and practice. This role will involve intensive analysis of claims data and related large administrative datasets to support policy-relevant
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interatomic potential to incorporate materials response . Resulting models are implemented in LAMMPS and are used to perform ML-accelerated large-scale dynamics simulations to investigate the evolution