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of older persons. The candidate will also contribute to teaching activities related to machine learning or other areas depending on the candidate’s profile. Moreover, the candidate is a team player that
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fundamental knowledge of, this domain. Be sure to mention in your motivation letter any knowledge of (or previous experience with) the machine learning research topics of the PhD project as detailed in
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learning approaches and/or with the basic principles of Model Order Reduction or I have a profound interest in these topics. · As a PhD researcher of the KU Leuven LMSD division I perform research
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approaches to obtain a digital twin that is trained using both physics based metamodels/insights and measurements on the physical asset. To accelerate the training of the machine learning architecture, reduced
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agenda that synergetically adds a hardware dimension to the AI expertise that is present at the STADIUS and e-Media research groups, which currently includes machine learning, signal processing
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LanguagesENGLISHLevelGood Additional Information Benefits The requirements for the position are: Obtained a PhD in a relevant field, and high quality publications Machine/deep learning algorithms. Biomedical data
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tools designed for electronic transcriptions, collations and editions. Working as part of a team of researchers, the successful PhD candidate will contribute to the project’s objectives by focussing
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published as a monograph after completion: (a) Cross-language Analysis of so-called “Western” Readings The PhD candidate will investigate so-called “Western” readings in a selection of bilingual manuscripts
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if such appears necessary. Advantages strengthening the candidate’s profile, but not explicitly required: Knowledge of machine learning, Python or MATLAB programming. Having published as (co-)author in a peer
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. Eligibility criteria You have a PhD in engineering, computer vision, geomatics or similar, preferably on the topic of Self-Supervised Learning. You are eager to program and implement solutions, often