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- Erasmus University Rotterdam
- European Space Agency
- University of Amsterdam (UvA)
- Koninklijke Bibliotheek; Published yesterday
- Leiden University; Published today
- NIOZ Royal Netherlands Institute for Sea Research
- University of Amsterdam (UvA); Published 5 Dec ’25
- University of Amsterdam (UvA); Published yesterday
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the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing
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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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in Python or R, particularly in the domains of law and sustainability, and will have a practical understanding of building text mining pipelines for potentially messy real-world data. Knowledge
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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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of the Swammerdam Institute for Life 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
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solutions that can contribute to our needs around text mining, data analysis, and visualization. Develop documentation, tutorials, and workshops to support research teams. 2. Innovation Contribute
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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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compact linear support vector machine that runs in real time on power-limited hardware; Validate with an end-to-end mission simulator. Use an existing processing chain (from raw sensor data to geophysical
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/10.17605/OSF.IO/4NZSW Opens external Puha, Z., Kaptein, M., & Lemmens, A. (2020). Batch mode active learning for individual treatment effect estimation. IEEE International Conference on Data Mining