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Field
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, neuroimaging, physiological, and immunological data within unified theoretical frameworks. Our work has been published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https
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Disease Prevention and Health Promotion in the Division of Nutrition, Physical Activity, and Obesity (DNPAO), you will engage in a training experience involving Active People, Healthy Nation (https
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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(e.g., Python, Fortran, and task automation in a Linux environment) (25%); ii) scientific output (e.g., published scientific articles, conference proceedings in the field of air quality) (25%); iii
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. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python for high-performance computing environments. Coordinate data generation with clinical and experimental partners, including
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analysis in a research context Proficiency in R and/or Python for statistical analysis and pipeline development Familiarity with causal inference or genetic epidemiology methods (e.g., Mendelian
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building optical imaging systems; Experience developing acquisition/control software; Proficiency with optomechanical components; Programming experience in Python or C++. Non-compliance justifies exclusion
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. Knowledge, Skills, and Abilities: Advanced in data analysis, modeling, machine learning, and AI, using Python and SQL, with extensive experience in libraries and frameworks such as Pandas, NumPy, scikit-learn
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the start of employment, in bioinformatics, computational biology, computer science, data science, statistics, systems biology, or another relevant discipline Strong programming skills in Python and/or R