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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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, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database development teams and facilitate
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supercomputer for large-scale simulation and adversarial testing The project also includes industrial validation with social robotics platforms (e.g., QTrobot) for deployment in educational and special-needs
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Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer, please visit www.fau.edu/jobs . Note: Current FAU employees must apply as an internal applicant
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets
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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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mechanisms that drive problematic consumption of highly processed foods. Research in the lab spans behavioral experiments, large observational datasets, survey studies, conceptual and theoretical scholarship
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relevant projects and for the development of future group research strategy. MAS has a large intra-disciplinary team of researchers, engineers, technicians, support staff and academics who work together to