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Objectives: Implement complexity reduction techniques for block code decoding based on stochastic noise decoding using MATLAB. The techniques should be applicable to random block codes and, in particular
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(GIS); - Programming skills in Python and MATLAB. Additional optional skills and qualifications: - Good command of English. Contracting requirements: Presentation of the academic qualifications and/or
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transformer control algorithms on the Xilinx FPGA, which were developed in Matlab/Simulink. II. Developing a graphical user interface in QT to interact with the controller. III. Conducting experimental tests. V
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signals and/or data; e) Competence in scientific programming, preferably in languages such as Python, MATLAB or R; f) Fluency in spoken and written English, compatible with writing scientific reports
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(e.g., VISSIM, SUMO, Aimsun or equivalent), as well as operational research; Experience in scientific programming and data analysis (e.g., Python, MATLAB, R); Participation and collaboration in
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requirements: Solid knowledge of programming and signal processing, based on Matlab or Python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase
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instrumentation (e.g., pumps, flow-controls); Basic laboratory automation and programming (e.g.; Matlab, Python, Arduino); Writing reports; Mentoring of younger students. Personal Skills “Hands-on” approach
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vulnerability analysis of reinforced concrete buildings and probabilistic modelling of the seismic performance of buildings in Matlab and/or Python. A1.4.) Experience in seismic vulnerability analysis