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Previous Job Job Title Post-Doctoral Associate, Dr. Xue Feng Next Job Apply for Job Job ID 368957 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code
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Full-Time Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Department of Biomedical Engineering at the University
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Science. As a member of the ORNL scientific community, you will be expected to commit to ORNL’s Research Code
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0321-NPP-NOV25-JPL-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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employer and value diversity at our University. We are committed to building a diverse faculty so you are encouraged to apply. Our selection procedure follows the guidelines of the Recruitment code (NVP
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patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members of the research group and others as described in the Duke University School of Medicine Honor Code
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, enhancing, and running code in R. You will have excellent communication skills with the ability to talk to different audiences, as you will be collaborating with a team of researchers across multiple
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on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches for coupling functional