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for decarbonization strategies o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention
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spectrometry, protein-protein interactions, recombinant expression/purification. Preferred Qualifications Equipment Utilized Must be familiar with Microsoft Office, Adobe Photoshop and Illustrator, and R. Must
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with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical genetics, and the ability to use R and/or UNIX/command line applications
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must have the following essential skills: Strong background in plant breeding and genetics Strong computer skills and proficiency in R or other programming languages Outstanding interpersonal and
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spatial transcriptomic data using R or Python; interprets findings in the context of transplant immunobiology. Establishes new research protocols and procedures: Develops and optimizes protocols
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The Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of process technologies for next-generation nuclear/chemical/electrochemical
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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
- Proficiency in programming (e.g., Python, R, or similar). - Experience with large-scale omics data analysis. - Excellent communication skills. Preferred Qualifications, Competencies, and Experience - Solid
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. Lozada-Hildalgo, & P. Unwin. Nature. 2023, 620, 782–786. 2. Thousand-fold increase in O2 electroreduction rates with conductive MOFs. R. Mariano, O. Wahab, J. Rabinowitz, J. Oppenheim, T. Chen, P. R. Unwin
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The Applied Materials Division, Process R&D and Scale up Group is seeking a postdoctoral candidate to conduct general research in material science and electrochemistry related to next generation