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Field
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family of microcontrollers and embedded systems design; modelling and simulation using MATLAB/Simulink; signal theory and digital signal processing, including time-domain, statistical, and spectral
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knowledge of programming languages and IT tools used in data analysis (e.g. Matlab, Python, C++). • Practical skills in database creation, data management and scientific programming. • Knowledge
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characterization methods (e.g., SEM, XRD, BET, FTIR, Raman, DSC, TGA); 9) Experience in modeling and simulating chemical, catalytic, or electrochemical processes (e.g., MATLAB, COMSOL Multiphysics, ANSYS
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radioelectronics systems, Ability to create applications in programming environments: Matlab and C++, Ability of analytical thinking, teamwork, flexibility, Readiness to actively participate in research work related
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skills (Python / MATLAB / LabVIEW), laboratory experience (optical/biological) and/or knowledge of advanced data analysis methods will be an added advantage, fluent English, reliability, good work
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master’s degree in engineering, or an equivalent degree in geodesy, remote sensing, geoinformatics, or a related field; project requirements: proficiency in the Matlab and Python programming languages, and
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mechanics and mathematics, particularly machine design or a related specialisation, nonlinear vibrations, and MATLAB simulations. • Ability to work in a team, strong motivation and enthusiasm
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processor programming or the use of DSP units in microcontrollers, Raspberry PI platform programming, programming in the Matlab/Simulink environment, signal theory and digital signal processing, including
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assembly language for at least one 32-bit microcontroller, • fundamentals of signal processor programming, • Raspberry PI platform programming, • programming in the Matlab environment, • signal theory and
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design and printing. • Metamaterial design and analysis, preferably with strong expertise in COMSOL Multiphysics. • Strong programming experience: C++, Matlab, Mathematica, Python. • Publications