Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
other researchers in the TRL Lab (students, 4-5 PhDs, postdocs, PI) and external collaborators (e.g. University of Amsterdam, the UN, and Amsterdam UMC). Assist in relevant teaching activities
-
and 11 support staff and about 21 Postdocs and 24 PhD candidates. This project is part of the 10-year EMBRACER research programme funded by the Dutch Research Council (NWO). At EMBRACER, we work at the
-
Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
-
'world leading' by an international visitation committee. Currently, IMAU employs 15 faculty members and 10 support staff and some 20 Postdocs and 30 PhD students, and offers a friendly, open and
-
the world, delivering competitive and successful high-quality research. The institute employs 500 people of which 275 are PhD’s or PostDocs. With its unique NanoLab facilities the institute holds 1250 m2
-
the S3ORTED project, other work-packages will focus on the technical development of an automated sorting process of discarded textiles as well as chemical recycling. But we also need to understand how we can
-
the S3ORTED project, other work-packages will focus on the technical development of an automated sorting process of discarded textiles as well as chemical recycling. But we also need to understand how we can
-
://romeijn.web.rug.nl/paper/2023_romeijn_-_VICI_project_description.pdf ), where you can find a detailed list of planned PhD and postdoc positions. Candidates can freely choose their research topic within the domain
-
project. One PhD position will focus on conducting a hyperscanning fMRI study, in which pairs of socially anxious individuals will engage in controlled social interactions while their brain activity is
-
renovation construction work · evaluate (numerical or data driven) solutions for automated coordinated planning · develop and evaluate self-learning interactive visualisation technologies