Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Utrecht University
- Wageningen University & Research
- Leiden University
- University of Twente (UT)
- Erasmus University Rotterdam
- European Space Agency
- Maastricht University (UM)
- Radboud University
- University of Twente
- University of Groningen
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC
- Centrum Wiskunde en Informatica (CWI)
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- ARCNL
- Adver Online Group
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam (EUR)
- IHE
- SRON
- Sanquin Blood Supply Foundation (Sanquin)
- TU Delft
- The Open Universiteit (OU)
- Universiteit Leiden
- University Medical Center Groningen
- University Medical Centre Groningen (UMCG)
- 20 more »
- « less
-
Field
-
by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace engineering
-
postdoc candidate, with a keen interest in academic and professional development, who meets the following requirements: a PhD degree in computer science or artificial intelligence; demonstrable machine
-
partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across the two teams. The position offers a strong publication trajectory at leading HCI venues
-
well as the Nutrition and Disease group; you collaborate with colleagues and supervise PhD students, BSc and MSc theses; you develop and teach innovative courses in the field; you contribute to the further development
-
executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi
-
Requirements A PhD in computer science, artificial intelligence, human–computer interaction, computational social science, digital humanities, cognitive science, or a related field; Experience with
-
-quality datasets that are structured and annotated for simulation and machine learning. Develop Digital Twins and simulation pipelines for virtual validation and predictive performance assessment. Implement
-
substantial experience with machine learning techniques. You have experience with the PreFer data challenge. You have experience with working with Dutch register data. You have the ability to identify
-
Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
, supportive environment that fosters learning and professional growth. Job requirements Hold a PhD degree in a relevant field (e.g., Transportation, Human-Computer Interaction, Computer Science, or a closely
-
, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI