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architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development. Application materials: CV, cover letter, and one recommendation letter
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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models, statistical analysis). Proficiency in programming languages (e.g., R, Python, MATLAB) and familiarity with relevant air quality modeling tools. Experience with large datasets and data processing
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. Proven track record of high-quality research and publications. Solid programming and modeling skills (e.g., Python, MATLAB, C++,TensorFlow/PyTorch). Familiarity with quantum information theory or quantum
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modeling skills (e.g., Python, MATLAB, C++,TensorFlow/PyTorch). Familiarity with quantum information theory or quantum communication experiments is a plus. Excellent written and verbal communication skills
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such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real-time data for dynamic urban system modeling. In-depth knowledge of IoT sensor networks for collecting and
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Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly
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, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis, thermography, and field measurements. Teamwork and collaborative problem-solving abilities. Strong
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programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in English. Application Applications should be submitted online and through email as a zipped file
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sciences, or related fields Strong background in hydrology and remote sensing techniques. Proficiency in computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical