Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); Published yesterday
- Utrecht University
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published 31 Oct ’25
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus University Rotterdam
- Leiden University
- NIOZ Royal Netherlands Institute for Sea Research
- Naturalis; Published today
- Naturalis; Published yesterday
- University of Groningen
- University of Twente
- 8 more »
- « less
-
Field
-
-edge topics in specification-driven development, large language models, and AI-assisted software engineering. Your job As a PhD candidate within this project, you will conduct research at the forefront
-
; Develop system architecture and training strategy to enable the FM to learn from heterogeneous MRI data in terms of data source purpose and physical location in the scanner; Develop efficient techniques
-
of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering. Our work will be informed by sound theories and supported by empirical data. In
-
research team, and work on the development of new statistical methods and software for dynamic prediction together with the other team members. Specifically, this position will primarily focus on strategies
-
experience and productivity of software engineers at the scale of Meta's tens of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering
-
of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering. Our work will be informed by sound theories and supported by empirical data. In
-
of both science and societal application. We contribute to innovative information technologies through the development and application of new concepts, theories, algorithms, and software methods. With our
-
multidisciplinary project at the intersection of Robotics and wildlife conservation. The project aims to develop autonomous drones capable of perching on natural structures, inspired by the way birds rest on branches
-
experience and productivity of software engineers at the scale of Meta's tens of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering
-
28 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Environmental science » Global change Environmental science » Natural resources management