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PhD Student position in LiFi Systems for Unmanned Aerial Vehicles - Pervasive Wireless Systems Group
of the fundamentals of wireless communications systems. Coding skills using Matlab, C/C++, Python. High level of English (English will be the working language) LanguagesENGLISHLevelExcellent Additional Information
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/NS3, supported by strong software programming skills in either Matlab, Python, or C/C++. Selection process Selection criteria: Curricular evaluation (100%) - the evaluation of the application will focus
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: Proficiency in scientific computing and experience with programming languages such as Python, Julia, or Matlab. Experience in mathematical modeling and computational simulations, particularly in the context
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with documented practical experience within optical spectroscopy and scripting using MatLab or python. You should be able to work independently and within a group, and communicate well in English. A
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skills in Matlab and/or Python, R C2 Experience with collection and analysis of EEG and/or fMRI data C3 Experience with Drift Diffusion and/or Reinforcement Learning models C4. Research creativity and
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other relevant areas Interest/knowledge in photonics or electonics Experience in nano/micro-fabrication is highly desired Programming skills (e.g., Python, Matlab) Ability to work as a team and
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research environment, including participation in fieldwork. Strong attention to detail and a meticulous approach to data collection, recording, and management. Working knowledge of MATLAB and Python for data
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 17 days ago
she must have strong proficiency in Python and/or MATLAB, R or related software for data analysis and other software for statistical and mathematical modeling with evidence of codes in public
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development experience, and simulation/prototype development experience in MATLAB, Python, and/or OCTAVE and experiences in system level simulation and testing. Focus on problem solving and self-motivated
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in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience