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). Advantages strengthening the candidate’s profile, but strictly required: Experience with machine learning or system optimisation; proficiency in Python or MATLAB. Previous authorship or co-authorship
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affinity with these fields. Prior experience with uncertainty quantification, computer vision and/or time series data analysis is a plus. I am proficient in Python and am familiar with data science and
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and/or the CAD/CAM process is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I perform research in a structured
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exploring several emerging use cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom The successful candidate is
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, electronics and control) Experience with Matlab/Simulink Familiarity with at least one programming language among C++, Python and Rust Interest in learning AI/ML technologies Ability to blend creativity and
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of data analysis, time series analysis, machine learning and algorithm development. have knowledge on machine learning with Python or MATLAB. are very fluent in English, both spoken and written. possess
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. Applied coding skills (e.g. in Stata, R, or Python) for data manipulation and basic statistical analysis are essential. The role also demands the ability to communicate complex IT concepts effectively
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knowledge of channel modelling and MIMO is a plus. Proficiency with Matlab or Python. Additionally, the applicant should have strong interpersonal skills and the ability to work in an international team. Type
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interdisciplinary research project at IDLab-MEDIA (https://media.idlab.ugent.be/ ), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision
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to quality, integrity, creativity and cooperation. You are an experienced user of statistical software (such as SAS, JMP, SPSS, Stata, Matlab, Python, R or other statistical software). You are a creative and