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. Effective analytic skills with at least two years of demonstrated professional experience writing code to perform statistical analysis of large data sets using software such as Stata, SAS, or R. Demonstrated
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relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc. About the role We are seeking a
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of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial datasets
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to the development of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial
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Postdoctoral Fellowships - Department of Data Science Dana-Farber Cancer Institute Boston, MA Full Time Overview The Department of Data Science at Dana-Farber Cancer Institute welcomes recent Ph.D
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Reporting Effort Reporting Project Modifications Equipment Management Service Centers Audits Award Closeout Compliance Resources Breadcrumbs Home chevron_right Resources chevron_right Harvard Data Science
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3 Mar 2026 Job Information Organisation/Company Instituto Superior Técnico Department Direção de Recursos Humanos Research Field Engineering » Civil engineering Researcher Profile First Stage
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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floating laboratories in the project. The research will involve processing and analyzing large volumes of operational data from onboard systems, including propulsion, navigation, environmental sensors, and
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activities will likely include, but are not limited to: Use of large language models and AI techniques to support data collection, synthesis, analysis, and construction of a modeling platform for key resource