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of datasets Conduct sophisticated statistical and econometric analysis Collaborate with interdisciplinary teams to incorporate a wide range of perspectives Efficiently synthesize research outcomes and present
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health, psychology, public health, social science, statistics) Experience in health services or implementation research, preferably in primary health care setting Design of research projects using a range
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of the project support. Candidates should have a PhD degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research
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models, along with measurement and statistical approaches, to understand the mechanisms that drive the climate-air quality interactions, and evaluate the impacts on human exposure, mosquito abundance and
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studies. Incorporate both physical-based and machine learning methods into the models. Analyze model output, perform statistical analysis and provide interpretation and recommendations. Collaborate with
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Research Fellow (Process Control/Control Science & Engineering/Applied Mathematics/Machine Learning)
of research in the corresponding fields. Extensive experience and advanced math skills in control engineering, statistics, optimization, and/or machine learning. Excellent programming skills in, for example
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of individual level data on internships and graduate employment. Compiling, processing, and analyzing data using statistics and econometrics software such as STATA and R. Preparing sections of analysis, writing