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analysis, immune profiling; Bioinformatic analysis: Python, R, data-mining, et al. Physical Demands Salary Range $47,500 - $61,008 Additional Salary Information The salary range reflects our good faith and
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. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R (for statistical modeling or data analysis), as both will be actively used in the research workflow. Importantly
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identification and prediction via software such as Python and R. Also, background in field design and statistical data analysis in the context of agriculture and applied plant pathology. Key responsibilities
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
applied statistical analysis, including regression modeling. * Strong statistical programming skills (ex: SAS, R, or Python). * Ability to work collaboratively and independently. * Strong written and verbal
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collaboratively within a team. Excellent written and verbal communication skills. Proficiency in molecular bench skills and/or data analysis. Preferred to have familiarity with R, Python, or related scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
or biostatistics. Demonstrated past experience in statistical programming (SAS, STATA, or R) is required. The position also requires excellent writing abilities, strong organizational skills, and meticulous
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performance Solid understanding of research design and experience with data collection and field work and excellent attention to detail Proven analytical skills and proficiency in Stata and/or R; experience in
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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University in European Policy Developments Position papers on European R&I policy Workshops Institutional networks Funding opportunities Horizon Europe European Partnerships INTERREG / ERDF (in Dutch: EFRO
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other major funding sources. Required qualifications A Ph.D. in bioinformatics, computer science, computer engineering or statistics, and excellent programming skills (R, Java, web programming