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structural biology. Willingness to learn or existing expertise in python, R, molecular dynamics simulations, or machine learning is advantageous. Expected Salary: Commensurate with experience. Minimum
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2025. -Candidates should have excellent skills in designing, conducting and analyzing Social Network data. -Excellent data analysis skills in R, Python, and/or Matlab are required. -Ability to work
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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability
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, biostatistics, biomedical informatics or related fields OR a PhD degree in biology or related fields. Preferred Qualifications: A strong background in programming (e.g., Python or R or C++) is essential. Research
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languages and tools, including open science frameworks, and current data science techniques commonly used in AI/ML and geospatial analysis (e.g., Python, R, TensorFlow, PyTorch) is essential. The capability
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, Ansible, and GitHub Actions. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Programming and Scripting: Strong coding skills in Python and Go, with the ability to write