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applications (e.g., to enable wearable robotics to proactively respond to the user’s activities). Deep learning has enabled promising results in various applications by automatically discovering complex
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sound enhancement (Siemens Industry Software NV, Müller BBM, Trèves, Phononic Vibes, Saint-Gobain Ecophon, Tyréns, Purifi ApS). Doctoral Candidate 2 (DC2) within VAMOR will develop novel deep learning
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salary you will receive a mobility allowance of 600€. · An opportunity to pursue a joint PhD in Mechanical Engineering both from KU Leuven and the Technical University of Munich (TUM), typically a
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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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endeavours in AI have predominantly emerged from the domain of data science and mathematical engineering. At the same time, the deep penetration of AI into present-day science and technology creates challenges
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-of-the-art technologies including single-cell RNA sequencing, metabolomics, multi-color flow cytometry, imaging and genetic engineering to gain deep mechanistic insights. You will take part in internal
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such technologies in the wild and empower non-technical users. The PhD position will allow you to work at the intersection of machine learning/deep learning by developing computational methods with applications in
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Number BAP-2024-134 Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will use radiomics and deep and/or machine learning to develop a stratification
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Number BAP-2024-46 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will carry out fundamental scientific research on the NTTN project
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undesired stability issues and resonance incidents transmission system operators express deep interest in detailed time-domain simulation studies to assess converter interactions across the transmission