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Field
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SPECIFICS Penn State’s Earth and Environmental Systems Institute (EESI, https://eesi.psu.edu ) invites applications for multiple Postdoctoral Scholar positions in quantitative climate research. Successful
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Technology, ITS Required Qualifications: Ph.D. in Computer Science, Library/Information Science, Knowledge Graphs / Linked Data in any discipline, or related field Proficiency in Python, and experience with
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Data, or related field Proficiency in Python, and experience with data analysis To Apply: Please send a cover letter, CV/Resumé, and 2-3 references to [email protected] , with the subject line
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/opioid signaling. Quantitative and data-analysis skills (e.g., R, Python) and experience with genomics or imaging pipelines. About the Department The Department of Dermatology is committed to providing
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, or a related quantitative field Additional Qualifications · Exceptional programming and analytical skills (including R, Python, and SAS or Stata) · Demonstrated expertise in analysis of claims data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
laboratory safety protocols. Strong written and oral communication skills and a record of scientific writing. DFT/MD modeling expertise. Familiar with Python and Linux Special Physical/Mental Requirements
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
-line environment and analyzing whole-genome sequencing data (genome assembly, annotation, and detection of resistance determinants) using at least one scripting language (e.g., Python, R, or Bash
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ultra low temperature cryogenics (~ mK) Experience with cleanroom work Experience developing a Python-based laboratory control and data-acquisition infrastructure Applications should include: A curriculum
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characterizing materials in the lab, with a background in basic scientific programming (python/web) to build and leverage AI workflows. In addition to experimental work, the postdoc will work with our open-source
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evaluation with BER/throughput/bandwidth constraints). Demonstrated experience implementing research software (Python; and/or C/C++) and running simulation studies. Familiarity with modern machine learning