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design and digital signal processing. Hands-on RTL design skills (SystemVerilog / Verilog / VHDL) plus scripting (Python / MATLAB / C/C++). Strong command of English. Strong team player with excellent
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MATLAB/Simulink together with real time control, Labview, data acquisition and prototyping platforms. It is essential that you can demonstrate practical work in these areas, as the project aims to produce
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structural imaging (tractography, voxel-based morphometry, etc.) Experience working in the area of motor control and cognition Comfortable analyzing data in Matlab, Python, or similar languages Ability to work
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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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(advanced) programming skills in C/C++. Proficiency in Python and/or MATLAB is an added advantage. You are a collaborative team player with excellent communication skills. You demonstrate a high level of
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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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). 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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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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, 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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., 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