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. The thesis should be be quantitative and empirical, normally using large-scale datasets, statistical programming, and econometric methods. Other methods may be used as a complement where clearly
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regulation Information Technology Skills: Strong analytical and programming skills are required (Python and C/C++). Prior proven experience in data-driven innovation projects is an asset. Most
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, Symbolic/Logic-based AI methods. You have good mathematical and programming skills. You strive for excellence and have a scientific mindset. You are a loyal team player, who can work autonomously
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advanced computational simulation methods, in particular ray-tracing, is required; Good programming skills are a strong plus. Experience with Python or a similar languages and AI-based tools is a plus
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regulation Information Technology Skills: Strong analytical and programming skills are required (Python and C/C++). Prior proven experience in data-driven innovation projects is an asset. Most
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. The candidate is proficient in spoken and written English. Fluency in Dutch is a strong asset. Experience with statistical programming is an asset. Experience with epidemiological research, longitudinal
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plus; Good programming skills are a strong plus. Experience with Matlab, Python or a similar language and environment is a plus. Depending on the skills of the candidate, training can be arranged in
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digital twins is considered an asset. You have strong programming skills in Python and/or MATLAB. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP), and
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with MATLAB, Python, LabVIEW or similar programming environments is a strong asset. Experience with COMSOL Multiphysics, finite-element modelling, optomechanical simulations and/or mechanical design
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strong programming skills in C/C++, Python, and/or Matlab. Knowledge of energy-efficient communication systems, network energy modeling, or renewable energy integration is a strong asset. Knowledge of data