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outreach activities to promote SnT's research activities and citizen science This attractive PhD position is in close collaboration with our industrial partner, POST Luxembourg (https://www.post.lu ). POST
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. Experience handling and analyzing experimental process data, including mass and energy balances. Programming or data analysis skills (e.g., Python, R, MATLAB) are an asset. Ability to work independently while
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presentations You have basic knowledge in data analysis using R, Python, MATLAB, or equivalent software You have basic knowledge in GIS and digital mapping You have the required communicative skills to interact
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software (preferably ABAQUS) and you have programming skills (preferably in Matlab, Python or C++); You are a person showing the necessary reliability, autonomy and initiative; Your former experience with
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skills, preferably in Python, experience with JAX is a plus; You have experience with simulation-based or quantitative research; You have the ability to work independently and as part of a
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wireless communications and signal processing. You have at least intermediate knowledge of electromagnetics and antenna systems. You have strong programming skills in C/C++, Python and/or MATLAB. Knowledge
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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 software
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predoctoral funding. Preferably, you are eligible for the PhD fellowship fundamental research of the FWO (https://fwo.be/en/support-programmes/all-calls/phd/phd-fellowship-fundamental-research/ ) You will carry
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University is a logical choice for its staff and students. Within the faculty of Engineering and Architecture, the IDLab research group (https://idlab.ugent.be/home ) performs research on 1) connectivity and 2
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programming languages relevant to the project (Python/PyTorch, C/C++, …). Knowledge of (efficient) numerical simulation of differential equations is a plus. You have strong analytical skills and are well