30 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Twente in Netherlands
Sort by
Refine Your Search
-
develop scenarios, integrate NO REGRETS data and simulation models, and connect interaction technology to the MSP Challenge. Your scientific contributions, both situated in the field of Human-Computer
-
Optimisation and Operations Research. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
-
mail: a.martinetti@utwente.nl Group website Screening will be part of the procedure ## About the organisation The Faculty of Engineering Technology (ET) engages in education and research of Mechanical
-
, under the supervision of Dr. ir. Raffaele Sommese, Dr. Antonia Affinito, and Prof. Dr. Anna Sperotto. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS
-
collegial and international working environment, with active social interaction among colleagues. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
-
be the driving force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute
-
Doctorate, meaning the candidate will spend part of the PhD physically at Thales, working directly with planners, engineers, and data teams on real production challenges. The PhD will be hosted by
-
multicultural research group where independence and personal growth are valued, but where you will never be alone. About the organisation The faculty of Electrical Engineering, Mathematics and Computer
-
– m.c.vandenberg@utwente.nl Dr. ir. Rob Bemthuis – r.h.bemthuis@utwente.nl About the organisation The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil
-
PhD candidate to contribute to the next generation of real-time, AI-driven decision support for multimodal construction logistics. The successful candidate will join the Industrial Engineering and