Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Groningen
- Radboud University Medical Center (Radboudumc)
- Leiden University
- University of Amsterdam (UvA)
- University of Twente (UT)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Maastricht University (UM)
- Radboud University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit Leiden
- 4 more »
- « less
-
Field
-
packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
-
more about working at TU/e? Please visit our career page. Website for additional job details https://www.academictransfer.com/362661/ Work Location(s) Number of offers available2Company/InstituteTU
-
your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
-
the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
-
across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
-
Code2628CDStreetMekelweg 5 Contact City Delft Website http://www.tudelft.nl/ Street Mekelweg 2 Postal Code 2628 CD STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
-
We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
-
and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
-
economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
-
) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as