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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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at less than 10% of working time). For both PhD and Postdoctoral candidates You hold a Master’s degree obtained with cum laude or equivalent. You have strong programming skills, especially in Python, 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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processing and analysis routines in Python, MATLAB, or C++. Experience with state-of-the-art artifact correction, registration, segmentation, and (shape) analysis of microscopy images—as well as integrating
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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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cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We're looking for people driven by excellence, excited about
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cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We're looking for people driven by excellence, excited about
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. Programming experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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, or related field Experience with in vivo imaging, electrophysiology, optogenetics, or behavioral assays Strong data analysis skills (Python, MATLAB) Preferred Qualifications: Experience with stem
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. - Experience in flow diagnostics (e.g., PIV, load measurements) and/or vortex or mid-/high-fidelity aerodynamic simulation tools. - Good programming skills (e.g., Python, MATLAB). - Ability to work both