Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
- Computer Science
- Economics
- Medical Sciences
- Biology
- Linguistics
- Arts and Literature
- Chemistry
- Engineering
- Mathematics
- Science
- Social Sciences
- Environment
- Materials Science
- Law
- Business
- Earth Sciences
- Humanities
- Philosophy
- Psychology
- Education
- Electrical Engineering
- Sports and Recreation
- 12 more »
- « less
-
team-based scientific research, producing publications for national and international forums, contributing to the further development of the DNPP website and helping to acquire external research funds
-
Research Group Twente: The research focus of the statistics group is on the development of statistical methodology for new data applications and the theoretical analysis of machine learning methods, in
-
of English. Reading proficiency in relevant modern languages (e.g. German, Italian, French) or ability and willingness to acquire it. Excellent communication skills. Willingness to move to/reside in Groningen
-
that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
-
of the processing system online. Our approach will be to draw on a broad selection of tools including (deep) reinforcement learning, queuing networks, online algorithms and systems engineering. In addition, a large
-
technologies. The successful candidate will have strong data-driven methodological learning opportunities with high social impact on cancer care organisation. They will work within an interdisciplinary team
-
apply cutting-edge microscopy techniques to measure pigment behavior under realistic production and application conditions. By characterizing interactions at the nano- and microscale, you will develop
-
it increasingly possible to treat these conditions.' Anique Bellos-Grob, recipient of the 2023 KNAW Early Career Award Subject areas All disciplines within the Domains: Behavioural Sciences, Social Sciences and Law
-
. CML distinguishes itself for its attention to professional development in coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your
-
Apply now Are you passionate about the future of education and AI? Join us as a PhD candidate to explore how adaptive AI can enhance innovative teaching and learning. This interdisciplinary project