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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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: • PhD degree in Water Resources Engineering or related field • Familiarity with MATLAB, Python, ArcGIS, network theory, statistical analysis etc. • Good written and oral
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experience in first-principles simulations such as DFT. The candidate should be proficient in using DFT software packages (e.g., VASP, Quantum ESPRESSO), high-performance computing, and Python-based workflow
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optimal control with application to various water systems (e.g., wastewater treatment, desalination, etc.) Prepare grant proposals and project reports Program using Python and test theoretical findings via
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of probabilistic graphical models and/or knowledge compilation is an asset Mastery of a programming language is helpful (e.g. Python, C++, …) Have good technical reading, writing and programming skills. Have a
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. Proficiency in ROS and experience with real-time system integration. Strong programming skills in Python and C++. Demonstrated ability to conduct independent research and work collaboratively. Experience with
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programming skills: Python/MATLAB. Communication: Excellent writing and presentation skills for technical and non-technical audiences. Preferred: Knowledge of electricity markets, renewable energy policies. We
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components (low-noise amplifiers (LNAs), power amplifiers (PAs), mixers, oscillators etc) Experience in designing analog and mixed-signal circuits for RF applications. Knowledgeable in python programming, AI
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-end technologies (e.g., Node.js, Python/Django/Flask, REST APIs, SQL/NoSQL databases) Demonstrated knowledge of AI/ML methods, such as supervised learning, NLP, or deep learning, with application
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. Proficiency in ROS and experience with real-time system integration. Strong programming skills in Python and C++. Demonstrated ability to conduct independent research and work collaboratively. Experience with