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, splicing variant identification, or functional dissection of the sex-determination cascade. • Proficiency in command-line bioinformatics and a scripting language for genomic data analysis (R, Python
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, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python). Experience with mass spectrometry-based metabolomics approaches, including LC-MS/MS. Experience operating
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. Preferred Qualifications: Experience with computational tools for microbiome sequencing analysis (e.g., HUMAnN, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python
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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL
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proficiency in Python; experience with ML frameworks such as PyTorch, TensorFlow, or equivalent. Publication records in peer-reviewed journals. Demonstrated ability to communicate complex technical findings
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spatial analysis. Experience with quantitative modeling in agricultural or environmental systems. Proficiency in R, Python, or related analytical tools. A record of peer-reviewed publications. Preferred
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets
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., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g., Python, R
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-generation sequencing data Programming skills (e.g., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence
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under uncertainty, programming in Python, Julia, and/or MATLAB, and excellent quantitative skills, including probability and data analysis. Anticipated Division of Time Research (80%) Publication