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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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PhD student will expect to develop some experience in developing power systems models using a range of computer languages and tools (e.g. Python, MATLAB, OPNET, etc), ideally for applications involving
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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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control (broadly construed). Expert knowledge of a scientific programming language (preferable: MATLAB or Python) Experience with one or several of the listed human neuroscience techniques. Ability to work
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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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., 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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to detail. Proficient with research software such as R, SPSS, SAS, Strata, Python, or MATLAB. • Ability to maintain accurate records of research activities, laboratory procedures, and project outcomes
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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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, 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