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-generating mechanism, integrating it with recent insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project
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insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project seeks to enhance the robustness and efficiency
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the use of machine learning for a wide range of language technology problems, int.al. anaphora resolution, irony detection, event detection, word sense disambiguation, sentiment and (multimodal) emotion
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grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. YOUR TASKS As part of an educational innovation project, you will create a learning
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description To perform research on machine learning applied to the understanding and prediction of extreme hydroclimatic events. Job profile Researchers must hold an MSc in domains related to Earth science and
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, Agriculture Engineering (not agronomy), or Biosystems Engineering Basic knowledge in sensing technologies and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and
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the Life Sciences subjects taught at GUGC, Ghent University ranks even higher. Please visit the Ghent University Global Campus homepages to learn more about our organization: http://www.ugent.be/en and http
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and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and eager to learn about more advanced modelling techniques. User of engineering
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, these methods are more and more combined with machine learning techniques. BIONAMIX is a team embedded in the department of data analysis and mathematical modelling in the Faculty of Bioscience engineering. We
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with the (further) roll-out of the LISa projects on interdisciplinary cooperation, the operationalization of teaching courses in the bachelor program subjects within the learning lines “Work field