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proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and interpretable AI
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written and verbal communication skills Evidence of performing high-quality research independently and as part of a team Preferred skills: Ability to write and run Python scripts for data processing
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communication skills Evidence of performing high-quality research independently and as part of a team Preferred skills: Ability to write and run Python scripts for data processing and analysis Interest in
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environments, such as R or Python. ● Experience working on a project that involved synthesis of evidence and data from multiple disciplines. ● Experience developing or applying systems-based
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software (e.g., R, Python, MATLAB). Experience training or supervising others (e.g., undergraduate research assistants). Interest in pursuing graduate study in clinical psychology, gerontology, or a
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in spatially explicit environmental impact assessments at regional and local scales. Proficiency in R, Python, or other relevant programming languages. Record of peer-reviewed publications. Must have
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analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This
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environments, such as R or Python. ● Experience working on a project that involved synthesis of evidence and data from multiple disciplines. ● Experience developing or applying systems
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bioinformatics and a scripting language for genomic data analysis (R, Python, or equivalent). • Track record of first-author peer-reviewed publication (published or in advanced preprint/submission
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, Python, or Google Earth Engine. Familiarity with geospatial data, including raster and vector formats, coordinate reference systems, and spatial resolution. Ability to acquire data from online