Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Utrecht University
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- Eindhoven University of Technology (TU/e)
- University of Twente
- University of Groningen
- Wageningen University & Research
- Erasmus University Rotterdam
- Maastricht University (UM)
- KNAW
- University of Twente (UT)
- Leiden University
- Radboud University Medical Center (Radboudumc)
- Amsterdam UMC
- Hotelschool The Hague
- IMD Business School
- University Medical Center Utrecht (UMC Utrecht)
- Breda University of Applied Sciences
- Naturalis
- Tilburg University
- ARCNL
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Centrum Wiskunde en Informatica (CWI)
- Erasmus University Rotterdam (EUR)
- Fryske Akademy
- Halle Institute for Economic Research (IWH)
- Harvard University
- Radboudumc
- SRON
- Sanquin Blood Supply Foundation (Sanquin)
- Stichting Climate Litigation Network
- The Open Universiteit (OU)
- Universiteit Leiden
- Universiteit van Aruba (UA)
- University Medical Centre Groningen (UMCG)
- Zuyd University
- 29 more »
- « less
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Business
- Science
- Psychology
- Materials Science
- Electrical Engineering
- Social Sciences
- Arts and Literature
- Chemistry
- Humanities
- Sports and Recreation
- Earth Sciences
- Physics
- Linguistics
- Philosophy
- Education
- Environment
- Law
- Design
- Statistics
- 15 more »
- « less
-
also include generative or predictive modeling of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access
-
planning and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
-
against simpler machine-learning baselines; • train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies and
-
and/or the analysis and processing of sensor data, for example building and deploying sensing systems (wearable, ambient, RF, distributed), edge and on-device data processing and machine learning
-
compositionally complex recycled steels, using density functional theory and machine-learned interatomic potentials, in close collaboration with leading academic partners and Tata Steel. Job description At TU Delft
-
microstructure in materials. A distinctive element of the project is its data-driven approach. Together with colleagues at Saxion University of Applied Sciences, you will contribute to the development of machine
-
decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch energy
-
closely with colleagues and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome
-
Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
-
machine learning. You will develop and evaluate AI-driven visual speech recognition models and contribute to their integration into a smart-glasses prototype. The system aims to convert non-vocalized lip