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degree in meteorology or related field. Excellent coding skills, preferably python or matlab Excellent written and oral communications skills Ability to advise undergraduate students Leadership potential
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observed in Molecular Dynamics simulations to support ongoing research efforts. Data management and computer-based data analysis skills (e.g., Python) are required. Interest and training in soft materials
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(e.g., Python, JavaScript, HTML/CSS) Strong familiarity with LLMs and RAG architectures Understanding of document indexing and vector databases (e.g., FAISS, ChromaDB) Experience with web development
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, were crucial to be effective Strong experience with Linux-based infrastructures and Linux/Unix administration Knowledge of scripting languages, such as Python Experience with version control software
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as R or Python. Ability to create publication-ready visualizations and summary outputs for diverse audiences. Experience contributing to scientific manuscripts and conference presentations, especially
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/30/25 End Date: TBD Weekly Hours: 20 +/- hours per week (flexible scheduling) Compensation: $21 per hour The following are foundational and necessary skills: Programming & Environment: Python
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includes: Data science/algorithm development Data science / Machine Learning languages to include Python Research, development and implementation of machine learning models Preferred skills/knowledge
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Tomography collaboration. Storage of the data in github. Requirements and Qualifications Knowledge of python Experience with github BACKGROUND CHECKS/CLEARANCES Employment with the University will require
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language processing solution. Experience Required for Data Scientist: Python, TensorFlow, Infer.net or Caffe is required. Proficiency in relevant mathematics, such as linear algebra and multivariate calculus. Skilled
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statistical methods Experience with at least one of the following: R, SPSS, SAS, Python, Stata, or Minitab Proficiency with Microsoft Excel, Word, and PowerPoint Excellent communication and time management