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transportation industry and I am eager to learn how academic research can be linked to industrial innovation roadmaps. During my PhD I want to grow towards following up the project that I am involved in and
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You have a master's degree in Computer Science, Artificial Intelligence or similar. You are interested in Logic, Machine Learning, Knowledge Graphs, Stream Processing, the Internet of Things, Edge
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have taken specialized courses in some of the following disciplines: digital signal processing, audio signal processing, machine learning, and/or machine listening. Research experience (e.g. through
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, Machine Learning Eligibility criteria The successful candidate will be expected to make significant contributions to the development of robust damage assessment tools for complex industrial structures
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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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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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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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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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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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partners. Advanced machine learning algorithms will be used to extract knowledge from these datasets containing productivity related information. For this purpose intensive collaboration with AI experts is