Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
-
Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
-
-of-optica… Requirements Specific Requirements Masters degree in electrical engineering, applied physics, photonics or similar. Deep-tech understanding of semiconductor device physics, specifically regarding
-
applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
-
from reactive to proactive. The goal is to increase transparency and trust in the DNS namespace. Key research activities will include applying machine learning and graph-based techniques to uncover
-
Hoppe (t.hoppe@utwente.nl). About the department The Faculty of Behavioural, Management and Social Sciences (BMS), is home to tech-savvy social scientists eager to make the world a better place who are
-
to use your mathematical skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential
-
with next generation high-tech systems? The main challenge lies in the reliable operation of the entire system, where many interconnected modules affect each other. In this project, you will be designing