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Field
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in data analytics and statistical methods, particularly using tools such as R, Python, or other relevant software. Experience with Data Visualization & Programming: Expertise in data visualization
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health data systems. Proficiency in programming languages such as SQL, Python, PHP, GIS or other relevant tools. Strong analytical skills with the ability to interpret complex data sets, data exchange
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. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics). Experience in GIS and ecological mapping. Strong scientific writing skills and command
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issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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motivated individual with capacity to work independently. Good time management and planning; Good publication track record; Some knowledge of Building Energy Modelling, GIS and programming language (Python, R
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· Data handling, processing and modelling · Familiarity with GIS tools (e.g., ArcGIS, QGIS is a plus · Proficiency in Python scripting for data analysis and automation is a plus
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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the following: Describe and/or demonstrate proficiency with GIS systems. Describe and/or demonstrate proficiency with C#, .NET, JavaScript, HTML/CSS, Node.j. Describe and/or demonstrate proficiency in the various
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languages such as SQL, Python, PHP, GIS or other relevant tools. Strong analytical skills with the ability to interpret complex data sets, data exchange, data integration and data modeling. Excellent