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disseminate their work in conferences Teach at undergraduate level (maximum 20 teaching units per yer) Publish academic output in the form of articles in scholarly journals Contribute to the activities
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implementing signal processing algorithms specifically tailored to analyze signals that contain interfering impulsive content, often encountered in data coming from main and pitch bearings. Machine learning
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for environmental epidemiology (Epi, survival, sf, gstat, mgcv) and causal inference (dagitty, MatchIt), as well as contributing to reproducible, scalable data pipelines. Machine learning integration: Exploring ML
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immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore
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you to apply. The opportunity to work on a challenging and advanced research topic, in a dynamic academic environment, to acquire research and project management skills, to network with leading
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management, and machine learning approaches for process monitoring and control For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base.
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courses on advanced semiconductor technologies Design pathfinding PDKs as learning assets Interuniversity research programs across Europe 🔬 Nano IC-related PhD topics include: Machine-learning for epitaxy
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project; (iii) take PhD courses; (iv) write scientific articles and your PhD thesis; (v) participate in congresses; (vi) teach and disseminate your research Where to apply E-mail quentin.ponette
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eager to learn, resilient and motivated to successfully complete a multi-year research project. You demonstrate ownership of your learning and can handle feedback. You are able to prioritize and work
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breakdown spectroscopy (LIBS) and Raman spectroscopy) on metals and impurities • Development of a miniaturized laboratory setup for combined LIBS and Raman spectroscopy • Advanced machine learning