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will examine statistical applications in biomedicine, epidemiology, public health, and the life sciences. The main goal of this course is for students to use statistics to appropriately evaluate results
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should have a master’s degree and/or an earned doctorate in epidemiology, biostatistics, other public health specialization, or any social/behavior science with an emphasis on quantitative data analyses
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educational opportunities which prepare students for success in a global society. Essential functions (job duties): Lead the epidemiological research on SARS-Cov-2 pandemic based on the genomic surveillance
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analysis in this population, about the epidemiology, and other biological correlates of trauma and stress. Also learning about cutting edge methods of treatment of anxiety disorders and PTSD, including
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. Candidates with a strong background in epidemiology, epigenetics, male reproductive biology, next-generation sequencing, and/or computational biology/bioinformatics are preferred. The successful candidate will
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health and climate change, using state-of-the-science chemical transport models, epidemiological models and biostatistics. The postdoctoral fellow will have the opportunities to collaborate with scientists