Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- University of Amsterdam (UvA)
- University of Groningen
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Leiden University
- Radboud University
- Erasmus University Rotterdam
- IMD Business School
- European Space Agency
- University of Twente
- University of Twente (UT)
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Erasmus Universiteit Rotterdam (EUR)
- Radboud University Medical Center (Radboudumc)
- SRON
- Tilburg University
- Universiteit Leiden
- 10 more »
- « less
-
Field
-
lives, learn better and function better. Are you interested in joining Behavioural and Movement Sciences? You are the kind of person who feels at home working in an ambitious faculty, with an informal
-
: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over
-
learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
-
will develop a design-build-test-learn cycle, combining high throughput experiments and active learning to obtain synthetic cells with the desired properties. You will integrate liquid handling robots
-
Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
-
of work, careers, leadership, Diversity and Inclusion, meaningful work, well-being, proactivity, HRM, sustainability, learning, community, trust, and innovation. School of Business and Economics We
-
on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
-
to different diseases under abiotic stresses. This postdoc position offers the opportunity to learn the needs for keeping plant breeding innovative in the future, and to apply your research skills in the domain
-
the postdoc will explore familiarity with KEMs and their institutional embedding with policy makers. Needs and preferences for KEM utilization and envisioned learning trajectories within municipalities will be
-
part of the project ‘Sorry, what? How people resolve unexpected topic shifts in conversation, and what we can learn from computational cognitive modelling’, which is led by Dr Marieke Woensdregt, and