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are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In particular, we develop machine learning methods to derive
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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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machine learning aided data analysis. Correlation with other material and device characteristics. Reporting and publishing of results in leading scientific journals and conferences. Type of work: Literature
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(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 modelling tools, and
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for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. IDLab has a unique research
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, including patents and spin-offs. YOUR TASKS The Horizon Europe research project deCYPher will develop a standardized platform to profoundly implement artificial intelligence and machine learning techniques