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., Python packages) to streamline complex processes, such as the generation of mwTab files for metabolomics data submission. Data Management and Tracking: Design and implement data tracking systems to provide
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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Exceptional research and analytical writing skills Programming experience in R, Python, Stata, and/or other languages is strongly preferred Prior research experience and coursework in the empirical social
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of molecular biology and genomics; fluency in Unix and standard programming and data analysis languages (Python, R, or equivalent); interest in mentoring and training other lab members in computational biology
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* Advanced programming skills in Python and React, with experience architecting systems that integrate and deploy LLMs * Proven expertise in prompt-engineering and fine-tuning LLMs for specific product and
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Proficiency in statistical software such as Python, R, SAS, and/ or STATA. Excellent written and verbal communication skills, with experience writing research papers and effectively communicate information
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postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is
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, Computer Science, Bioinformatics, Computational Physics, or a related field Experience with biomedical data formats (FASTQ, FASTA, BAM, CRAM, Hail MatrixTable, et al.) Comfortable in programming with Python
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fields Some experience with basic laboratory techniques Some familiarity with data analysis, and a programming language such as R, Python, or experience in Matlab or Mathematica EDUCATION & EXPERIENCE
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working with large healthcare datasets (EHRs, claims, registries). Proficiency in R or Python. Strong quantitative skills and familiarity with advanced modeling techniques. Excellent written and verbal