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in statistical programming (R, Python, Julia, MATLAB). Familiarity with GIS and spatial analysis tools (ArcGIS, QGIS, or R spatial packages). Ability to integrate multidisciplinary datasets
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or computational methods (e.g., PCR, cell culture, coding in R/Python). Demonstrated interest in public health, medicine, veterinary medicine, or biomedical research. Strong organizational, problem-solving, and
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genomic data. Strong capability in programming languages commonly used in bioinformatics, including Python and R, for data analysis, statistical modeling, and visualization. Familiarity with high
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, proteomics). Proficiency in scripting/programming (Python, R, Bash, or similar). Experience with high-throughput sequencing analysis pipelines (e.g., genome assembly, phylogenetics, variant calling
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as part of a team. Experience with programming languages such as Matlab or Python is a plus. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment
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the appointment start date. Preferred skills: Knowledge and experience in multiple programming languages and platforms (eg Python, perl, C/C++, R, and SAS). Familiarity with NGS based sequence analysis including
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trainings in coding (e.g., R, Python, HPC) and scientific topics, and to hone interdisciplinary communication, collaboration, and leadership skills through workshop and working group experiences. USDA-ARS
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) surveillance. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Improve standardization, utility, and public health potential of data systems
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, or related field. Proficient in MATLAB and/or Python. Experience with image processing and rectification. Strong understanding of coastal and ocean wave physics. Application Requirements A complete
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and gamma-ray detection and radiation transport codes (e.g., Geant4, MCNP) Proficiency in scientific computing (e.g., C++, Python) Strong initiative, organizational skills, and motivation Strong writing