Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Developer Novel-T To vacancy overview Apply now GA Policy and staff Ervaren Business Developer Novel-T This vacancy is only available in Dutch. Click here to view the vacancy in Dutch. Apply now Hi! Are you
-
design up to phased-array implementations (3 vacancies) With its partners, the University of Twente founded POLARIS, a programme running under the Dutch National Growth Fund (NGF). It realises
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Circularity
-
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description
-
-master design program being part of the program Business Information Technology. For more information on the BIT EngD program, see https://www.utwente.nl/en/education/tgs/interested-in/engd/programmes
-
mathematician. You are expected to attract national or European research grants to support your research line. You will be involved in the teaching program of the Department of Applied Mathematics (DAMUT
-
++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
-
responsible innovation, and designing solutions that create societal value. Our educational programmes span disciplines such as Psychology, Business Administration, Public Administration, Communication Sciences
-
Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes
-
: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical