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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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; coding and analyzing collective agreements; and performing archival analysis. The Postdoctoral Associate will assist in coordinating these activities and will co-author practitioner reports and academic
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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sensor integration. Strong coding and debugging skills. Excellent communication, documentation capabilities and a demonstrated track record of publication. An enthusiasm for developing new measurements
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of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant conduct policies about other schools at Duke University. Compliance with
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Dr James Cotner and Dr Timothy Griffis are recruiting a postdoctoral
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emphasis on the role of collective bargaining and other forms of collective worker voice in shaping outcomes. Research activities will include conducting interviews, site visits, worker surveys; coding and
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cardiovascular treatments. In this role you will apply both machine learning predictive modelling and human genetic analyses of non-coding regulatory sequences to identify cell-specific targets for coronary artery
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a related field Experience with radiation transport codes (e.g., FLUKA, Geant4, MCNP etc.) Excellent programming and data analysis skills (e.g., Python, C++, or similar) Solid understanding
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of Researchers (Charter and Code). Please, check out our Recruitment Policy The role We are seeking a motivated postdoctoral scientist interested in dissecting genome regulatory mechanisms underlying human