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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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Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics. Job
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familiarity with health-related datasets. Additional Qualifications: Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols. Experience with exposome
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, researchers will manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB. For behavioral roles, researchers will manage and manipulate data using qualitative research tools
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, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (R, SQL, or Python) is required. Additional Qualifications: Master's degree preferred
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., alignment, QC, variant calling from WGS and RNA-seq) similar to those in existing repositories: https://github.com/smaht-dac/main-pipelines . Build reproducible, well-tested, and automated workflows using
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degrees include: computer science, software engineering, physics, computational science, or other closely related degree. Proficiency in Python or another advanced programing language, Experience with
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, user-focused, and accountable IT professional who also connects with the importance of collaborating well in a team environment, we are looking for you! We are seeking an Associate Developer, Python
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Additional Qualifications and Skills: 3-5+ years of hands-on experience with time-series data, sensor data, or biomedical/wearable data. Proficiency in one or more programming languages (Python and/or
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Strong programming skills in Python and frameworks like TensorFlow Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using