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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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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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to investigate heat transfer and pressure loss, as well as analysis of experimental data and the use of these for model validation. Building or modifying flow loops with instrumentation arrangement may also be
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 21 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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be emphasized. LanguagesENGLISHLevelGood LanguagesSPANISHLevelGood Additional Information Benefits Organised research training in a large undertaking with an important social mission Careers advice and
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, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program. Routine Uses
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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
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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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biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with