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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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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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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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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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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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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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strengthening the candidate’s profile, but not explicitly required: Prior knowledge of Ansys Fluent or similar; Python or MATLAB programming. Having published as (co-)author in a peer-reviewed journal. Earlier
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initiated research Advantages strengthening the candidate’s profile, but not explicitly required: Knowledge of machine learning and system optimisation; Python or MATLAB programming. Having published as (co
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implementation constraints 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 of work: 20