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Field
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. Demonstrated experience collaborating across various departments and/or stakeholders. The most successful candidates may possess the following qualities: Familiar with programs such as Python, Excel, Redcap
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giant viruses in particular Preferred Qualifications Experience working with cultures of bacteria/algae/viruses Experience with a coding language (preferably Python or R) and working with bioinformatic
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within an interactive research group consisting of Cornell and agency scientist. Specifically, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
experience with R or Python is required. They will also evaluate research results for validity and reliability and oversee project progress. Finally, they will help develop research papers, presentations, and
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, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran
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experience in Python, C++, MATLAB, or LabVIEW. Brief Description of Duties (Postdoctoral Associate): The selected candidates will join the Atmospheric Remote Sensing Group , a leader in innovative multi-sensor
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acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with pulse sequence
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REDCap, Qualtrics, or similar platforms. Proficiency with at least one programming language for data analysis (e.g., Python, SAS, R). Experience working with healthcare or secondary datasets, including
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/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer-reviewed publications commensurate with career stage and