13 data-analytics-phd Postdoctoral research jobs at University of Twente in Netherlands
Sort by
Refine Your Search
-
Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn
-
in confined polymer systems. (Synthesis of complex polymer architectures will primarily be carried out by the partners in Dresden.) Information and application Interested? Send your application before
-
environment comprising over 70 scientists working in photonics. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before June 30
-
or writing sample you are particularly proud of; Contact information for two academic references, preferably including your PhD supervisor, who may be contacted during the selection process; The first round of
-
Circular Batteries. Information and application Interested? Send your application before March 31st, 2026 through the provided button, which should include: transcript of your MSc course grades – executive
-
models. Using the acquired RF data, you will track microbubbles as they travel through the vessel phantom and bind to the vessel wall, and analyze changes in echo amplitude and spectral content associated
-
. The position includes funding to present your work at leading conferences and engage in international collaborations. Information and application Are you interested in this position? Please send your application
-
and Digitisation in Apeldoorn, and the Kenniswerkplaats Onbegrepen Gedrag at Erasmus University Rotterdam. You will play a central role in working with the partners to get relevant information and
-
, community-driven research software. Both institutions provide a full-time position each for the duration of 1 year, and both candidates will closely collaborate with each other and with data researchers in
-
. Collaboration & Mentoring: Work closely with the project’s EngD researcher, providing the LES-generated data and expertise needed for the development of LiDAR-assisted forecasting methods. Methodological