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. Exposure to data center environments and enterprise platforms. Familiarity with scripting or automation tools such as PowerShell, Python, or similar. Strong analytical and troubleshooting skills with a focus
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. Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow. Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data
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technical depth with project delivery. Strong proficiency in automation and infrastructure-as-code frameworks (Ansible, Puppet, Salt). Advanced scripting or programming skills (Python, Bash, Go) for
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coding (Python) for building energy modeling and controls Preferred Qualifications: Expertise in modern optimal control techniques (e.g., AI based controls) High level of competence in coding and scripting
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related field. Experience in experimental plasma research, plasma diagnostics, or both. Experience with Python, MATLAB, or other relevant scientific programming languages. Scientific research ability
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
Python, Julia etc. with knowledge or keen interest to develop and meaningfully incorporate advanced AI/ML algorithms to advance their research. Experience creating and/or working with computational
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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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data analytics using tools in programming languages such as Python, PyTorch, Pandas, Scikit Learn, etc., in applied problem-solving contexts. Understanding of machine learning algorithms (gradient
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completed within the last 5 years or to be expected in 2025. Demonstrated experience working with machine learning and data analytics using tools in programming languages such as Python, PyTorch, Pandas
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. Expert programming skills (Python, SQL, JavaScript/TypeScript). Experience with full-stack development, including front-end (e.g., React, Angular, or Vue.js) and back-end (e.g., Node.js, Flask, or Django