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programming language(s), like Bash, R, and Python. Foundational understanding of microbiology, including virology, genetics, and epidemiology. Strong record-keeping practices and familiarity with version
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-hour schedule. Technologies We Use Front-end: Typescript and React, Figma, Tailwind CSS, Javascript Back-end: Python, Django, MySQL, OpenAPI, Backbone.js Dev-ops: Docker, GitHub Actions, Linux The work
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* Develop, deploy, and optimize computational pipelines and custom scripts using Python and Bash scripting. Apply and manage advanced computational methods involving Large Language Models (LLMs
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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. Proficiency in at least two programming languages used in research (e.g., Python, C++, R). Experience managing or contributing to complex technical projects. Excellent communication skills and the ability
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ASCOR methodology . Supporting the maintenance of an internal assessment database using Excel alongside R or Python. Contributing to writing reports and related analysis and visualisations. Candidates
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Applications: PowerShell, Tableau, Python, AWS Signature Version 4 Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/93424
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Technical Skills: Proficiency in relevant programming languages (e.g., python), frameworks (e.g., HuggingFace, PyTorch) is required. At least 2 years of postdoctoral research experience in a similar research
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Python is required. Programming in C or C++ is a plus. Background in statistical genomics, longitudinal modeling, non-parametric statistics, machine learning and deep learning are preferred and encouraged
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development centrally and within academic and administrative units. Essential Functions Design, build and maintain new and existing automated processes/data pipelines predominately using Python and SQL for data