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. – Use of machine learning techniques for economic analysis. – Use of economic analysis and programming software and environments: MATLAB, Python, R, SQL, Stata, SPSS and similar software employed in
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analysis via Python or Matlab is required. Knowledge about computational chemistry, and High-Performance Computing on datacenter would be a plus. Also, the candidate must be able to work at the interface
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the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work in a team are
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Intelligence will be considered an asset. Track record of research excellence. Programming skills (Python, MATLAB, C++, etc). B2-C1 English Level. Good communications skills. LanguagesENGLISHLevelExcellent Years
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, sediment transport/deposition, landscape change); You enjoy working with large datasets and applying statistical analysis and modelling approaches; You use scripting/programming in your research (e.g. Python
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). Reactive transport modeling (COMSOL/MATLAB/Python). Micropollutant analysis (LC-MS, GC-MS). Knowledge of wastewater treatment and effluent characterization (COD, BOD, TSS). Technical Skills: Proficiency in
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., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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, Arduino, Raspbelly Pi, Quectel modules. MATLAB, spectrum analyzers, ESP32 platform, network analyzers: wireshark. Programming in: Java, C, Python. Other requirements to consider: Ability to learn
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learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship