Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Leiden University
- Erasmus University Rotterdam
- European Space Agency
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Published yesterday
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus University Rotterdam (EUR)
- Leiden University; Leiden
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Groningen
- University of Twente
- University of Twente (UT); today published
- Wageningen University & Research
- 7 more »
- « less
-
Field
-
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
-
31 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Maritime engineering Engineering » Mechanical engineering Environmental
-
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 description We are looking
-
data mining and analysis methods Collecting case data Selecting predictive parameters Training algorithms (e.g. decision trees, gradient boosting, neural networks) Validating the prototype with end users
-
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
-
description You educate and inspire the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information
-
. Analysing existing trench datasets (content, format, resolution, completeness) 2. Defining the concept of ‘reliability’ 3. Exploring suitable data mining and analysis methods 4. Collecting case data 5
-
/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
-
/ Opens external Job description You educate and inspire the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and
-
of generative AI methods and tools, as well as a solid background in software engineering and a strong interest on visualisation techniques, are highly desirable. PhD 5: Data mining for diagnostics (supervision