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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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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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, 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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, 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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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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analyses, survival analysis, machine learning). Job profile You hold a master's degree (preferably) in medicine, biotechnology, bioengineering, biomedical sciences, pharmacy or equivalent. Diploma
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of the larger research groups at imec. Our major research areas are machine learning and data mining; semantic intelligence; multimedia processing; distributed intelligence for IoT; cloud and big data
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, bioinformatics and machine learning, as well as high-throughput biology in the framework of gene regulatory networks. Our final goal is to use this knowledge in the development of novel preventive or therapeutic
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task. You develop methods for aligning the ontologies to check for semantic, syntactic and structural heterogeneity. You will investigate the use of machine learning algorithms for automatic ontology
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languages, such as, MATLAB Toolbox, LabVIEW, DaisyLab, AutoCAD, C++….. Advanced knowledge in sensing technologies and measurement systems. Advanced knowledge in machine learning, deep learning and data fusion