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security. ● Excellent analytic, design, and coding skills. ● Familiar with a programming language, such as MATLAB, Python, C etc and/or hardware description language such VHDL or Verilog
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, molecular dynamics, mesoscale methods) is required. Equipment Utilized Experience with programming in an interpreted language (e.g., Python or MATLAB) is required. Experience with programming in a low-level
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
utilization (including interconnection of data sources). Collaboration and work within datasets may be in language of collaborators’ country (e.g. Spanish). This role will also include the preparation
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, BitBucket, etc. 3+ years' experience working in the R programming language Expertise developing software packages/libraries in R Demonstrated ability to communicate clearly and effectively in both verbal and
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strong quantitative background. Experience in cell culture and animal studies are required. It is desired to know at least one programming language, such as R or Python. Knowledge in genomics, genetics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
of Biomedical Knowledge Graphs and their application to generate data-driven, high accuracy drug repurposing hypotheses, specifically focusing on the interface between Large Language Models and Knowledge Graphs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Engineering, or a related field. Preferred Qualifications, Competencies, and Experience Be fluent in a computational language/platform, e.g., MATLAB, python, fortran, C/C++ -Have expertise with machine and/or
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
to, historical research and writing, data organization and management, digital humanities projects, GIS, foreign language translation, and public history work. 3. Provide regular written research reports and
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, mathematics, atmospheric science, ecology, engineering). Proficient programming skills in at least one major scientific computing language (e.g. Fortran, Python, Julia, C++, etc.). Strong quantitative and data