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Field
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quantitative data analysis; be skilled in the use of data analytics tools e.g. R, Python; SPSS or other data analysis software; additional software such as STELLA or Vensim and GIS; have the ability to plan and
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knowledge and expertise in quantitative data analysis; be skilled in the use of data analytics tools e.g. R, Python; SPSS or other data analysis software; additional software such as STELLA or Vensim and GIS
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, Linguistics or related fields. They should have Basic programming (R, python) and statistical skills and be committed to high quality research. The experience of designing psycholinguistic, developmental
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. Python, MATLAB) Strong knowledge of sustainable cities and local energy communities, V2G and flexibility markets, policy and market issues relating to local energy communities in the EU and the UK
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simulation software EnergyPlus. They should have the ability to handle and analyse large datasets, using suitable software such as R, Python, Matlab or similar. The ideal candidate is a highly quantitative and
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theory (market structures, competition, strategic interactions, bidding, consumer cooperative and noncooperative behaviour, game theory) plus proficiency in programming (e.g. Python, MATLAB) Strong
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related discipline. Solid experience in engine system modelling, simulation, or calibration using platforms such as GT-Power or AVL tools. Strong programming and data processing skills in MATLAB, Python
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experience working with complex datasets, missing information and data quality issues. Programming skills in R, Python or other open-source programming language are required. Further particulars are included
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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. Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.