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, including experience with data manipulation, statistical analysis, and data visualization tools; Usage of Machine Learning and Deep Learning libraries (e.g., Pytorch, Tensorflow) will be considered a
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; Experience with basics statistical analysis or data visualization; Experience in EU funded project management and coordination is considered an advantage; Excellent command of English is mandatory while
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, including experience with data manipulation, statistical analysis, and data visualization tools; Usage of Machine Learning and Deep Learning libraries (e.g., Pytorch, Tensorflow) will be considered a
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will play a key role in strengthening and expanding the group’s computational capabilities for the simulation, analysis, and optimization of advanced thermal energy systems and processes. This includes
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Technologies Key Responsibilities Conduct research activities under senior supervision Perform modelling, data analysis, and experimental validation Participate in lab testing, pilot installations, or fieldwork
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in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience
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interconnected DES via (i) realistic modeling of malicious attacks and/or network disturbances in networked DES; (ii) design of multi-layer anomaly detection/identification algorithms and analysis of cross-layer
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geospatial analysis. Cyprus University of Technology has a 16-year experience in earth observations and geospatial analysis. Through the ‘EXCELSIOR’ H2020 Teaming Project (https://excelsior2020.eu
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methodologies such as petrography, mineralogy and chemical (elemental and isotope ratio) analysis methods. We seek candidates who can capitalise on this investment and in addition can contribute to research in
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, space technology and geospatial analysis. Cyprus University of Technology has more than 15-years experience in earth observations and geospatial analysis. Through the “EXCELSIOR” H2020 Teaming Project