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apportionment, and related analytical methods (e.g., receptor models, chemical transport models, statistical analysis). Proficiency in programming languages (e.g., R, Python, MATLAB) and familiarity with relevant
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. Develop workflows in R, Python, or MATLAB to process and analyze ocean color data, with a focus on chlorophyll-a, suspended particulate matter, and colored dissolved organic matter (CDOM). Assess the impact
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, or a related field. • Experience in research projects applied to urban, environmental, or socio-economic issues. • Proficiency in urban modeling tools such as MATLAB, Python (especially libraries
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and simulation methods for energy networks. Experience with energy network analysis tools (e.g., MATLAB, Python, Simulink). • Publications: A strong record of publications in international scientific
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to energy management. • Experience with modeling and simulation tools such as MATLAB/Simulink, OpenDSS, or EnergyPlus. • Familiarity with predictive analytics tools for energy demand forecasting (time
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platforms 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
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. Strong technical background in optimization in wireless communications/networking. Experience with programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
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. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is a valuable added. Excellent communication skills and ability to work
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., Sentinel-1, Landsat, Sentinel-2) and other remote sensing data sources. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is