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and Qualifications MSc in Electrical Engineering, Biomedical or related fields; Electronics design and production (e.g., KiCAD, Altium); Essential knowledge of computer programming (e.g., Python, MATLAB
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of the energy conversion and networks group in the Master course (25%) Grade in the power system protection course (25%) Experience in programming (25%) Experience in simulation with MATLAB/Simulink (25
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be considered: Experience with scientific communication Experience with Bruker equipment Experience working with rodents, DGAV license Skills for image and/or signal processing (ImageJ/Matlab /Python
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analysis of data; b) Development of code in R, Python, Mata/Stata, or Matlab; c) Empirical application and econometric modeling; d) Preparation of a doctoral dissertation. 4.2. When the academic degree
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., I2C, SPI, USART) and control of actuators; Microcontrollers (e.g., Arduino); Essential knowledge of computer programming (e.g., Python, MATLAB, C#) for development of laboratory automation interfaces
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ultrafast laser systems for time-resolved optical measurements and material characterisation; Experience with finite element analysis. Other Valued Skills Experience with data analysis using Matlab, Python
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prototyping tools to accelerate system development and optimization (e.g., 3D printing, laser-cutting, CNC machining); Programming skills in a variety of languages (e.g., MATLAB, Python, Arduino) is highly
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record, the candidates' academic performance will be assessed according to the following weights and criteria: - Quality of the Curriculum: Proven programming skills: Matlab, Unix, Python (30%), Relevant
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Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication protocols (Modbus TCP, IEC 61850, etc.). ; Minimum
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study cycle or non-award courses of Higher Education Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication