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the following factors will be considered: a) Academic background (Master's degree average up to 16.0 points – 1 point, >16.0 points – 5 points); b) Experience in programming languages, including Python, C++, and
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Python and MATLAB for data analysis, device modeling, and automation. Demonstrated publication track record in high-impact journals (e.g., Nature Photonics, Optica, ACS Photonics, or equivalent). Hands
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-solving, and communication skills. Familiarity with programming (e.g., Python, MATLAB) and simulation tools (e.g., COMSOL). We regret to inform that only shortlisted candidates will be notified. Hiring
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confident in handling the relevant data and be competent in programming on either MATLAB or Python. You will also be enthusiastic about building and troubleshooting your experimental rig. You will have the
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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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: Basic or intermediate knowledge of energy systems or complex technical systems Experience with data analysis tools (e.g., Python, MATLAB, or similar) Ability to understand and support technical model
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the Research Grants Regulation of NOVA University Lisbon*; • Knowledge in computational and engineering programming areas (DIgSILENT, MATLAB (Simulink), GAMS, Proteus, Homer). • Programming skills in C++, MATLAB
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition