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- Delft University of Technology (TU Delft)
- Erasmus University Rotterdam
- European Space Agency
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e); Published yesterday
- Erasmus University Rotterdam (EUR)
- Leiden University
- Leiden University; Published today
- NIOZ Royal Netherlands Institute for Sea Research
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Field
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Process Mining? In this project we aim to transform the way we analyze and visualize complex processes. Information The field of process mining, a branch of business process management, revolves around
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expertise lies in machine learning, artificial intelligence, data mining, signal processing, or statistical modeling, with an interest in applying these skills to ocean science. You have strong organizing
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Infrastructure? No Offer Description Interested in working with science and engineering partners on researching how we can better assess and mitigate risks associated with deep-sea mining technology? Job
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teach include: Introduction to Programming Big Data Infrastructures & Technology AI Impact Lab Information and Data Management in a Global Business World Text Retrieval and Mining This is what we ask
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Sciences at the University of Amsterdam (UvA). BDA works on the development of methodology for data mining, machine learning/deep learning, data fusion, and modelling and application of these methods
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interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
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to end simulator (CHEES): simulating, testing and generating hyperspectral products | SPIE Sensors + Imaging Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of
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-experience education such as the executive MBA programmes. For more information about the group: https://www.rsm.nl/research/departments/technology-and-operations-management/business-information/ Job
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advanced microscopy techniques, including live-cell 2D/3D imaging, confocal microscopy, and high-content imaging, as well as in bioimage analysis and large-scale data mining Proven experience in
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. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. Barocas, S., Hardt, M., & Narayanan, A. (2021). Fairness in Machine Learning. Retrieved from https