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The Human Motor Control and Neuromodulation Lab under Dr. Helen Bronte-Stewart is part of the Stanford Movement Disorders Center within the Department of Neurology and Neurological Sciences
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quantitative social science field with an environmental/global health lens Experience designing and analyzing survey data Strong quantitative analysis skills, with a minimum of 3 years of statistical programming
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. This project aims to examine the neurobiological and mental health impacts of cannabis exposure, with a broader goal of identifying biomarkers associated with resilience and risk for depression. As part of
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candidate, budget availability, and internal equity. Pay Range: $76,383 - $150,000 We are looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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skills in statistical software (e.g. R, Stata, Python) and working knowledge in SQL Excellent written and oral communication skills Strong record of distinguished scholarly achievement, including written
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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Cancer Registry, as part of the national SEER registries. The postdoc fellow will work closely with statisticians, computer scientists, oncologists, and epidemiologists in the lab and other collaborating
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applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics
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immediately in the Department of Surgery at Stanford University. As part of the Asian Liver Center, our lab uses multidisciplinary approaches to identify and develop more efficacious methods for the diagnosis