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biological datasets. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential
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. * Proficiency in R and/or Python for data analysis and visualization. * Experience working with large datasets in an HPC or cloud computing environment. * Demonstrated ability to work independently and
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candidate holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB
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candidate holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB
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Sciences, Data Science, Applied Mathematics, Artificial Intelligence or equivalent experience. Required Qualifications Strong written and verbal communication skills Strong programming skills (Python and/or
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows
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or related field or equivalent experience. Minimum Required Experience: 0 years of relevant experience required. Preferred Qualifications: MVC and REST APIs (like Ruby on Rails), Ruby, JavaScript, Python
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Astronomy, Astrophysics, or a closely related field by the time of hire. Candidates should have strong scientific programming skills using modern languages such as Python or C++. Expertise in statistical
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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work