21 optimization-phd positions at Eindhoven University of Technology (TU/e) in Netherlands
Sort by
Refine Your Search
-
)CountryNetherlandsCityEindhovenPostal Code5612 APStreetDe Rondom 70Geofield Where to apply Website https://www.academictransfer.com/en/338267/phd-on-optimal-control-of-dynamical-… Contact City Eindhoven Website http://www.tue.nl/ Street
-
to apply Website https://www.academictransfer.com/en/337408/phd-airflow-optimization-in-a-new-de… Contact City Eindhoven Website http://www.tue.nl/ Street De Rondom 70 Postal Code 5612 AP STATUS: EXPIRED
-
developments in intelligent autonomous vehicles? • Are you excited to work on adaptive automotive E/E architectures? Then apply for the PhD position on Distributed adaptive configuration of next generation
-
Job related to staff position within a Research Infrastructure? No Offer Description We are excited to offer two PhD opportunities within the EU-funded SmartEM project. SmartEM aim is to use AI-assisted
-
Job related to staff position within a Research Infrastructure? No Offer Description The Eindhoven University of Technology (TU/e) has the following vacancy PhD student 'Bioinspired Composites
-
optics. Journal of Scientific Computing, 89, [27]. https://doi.org/10.1007/s10915-021-01612-x PhD vacancies As part of the research program Optical coherence; optimal delivery and positioning (OPTIC) we
-
during this PhD project are: Optimizing Coverage and Pricing Decisions: Develop analytical models to optimize decisions on when to cover which medicines (commercial, personalized medicines, or a
-
optimization and finite geometry. The successful candidate for this PhD position will work under the supervision of Bart de Bruyn and Aida Abiad in the a dynamic group in geometry and discrete mathematics (https
-
Job related to staff position within a Research Infrastructure? No Offer Description PhD project description Novel and innovative technologies like automated and autonomous driving will provide
-
ultra-low-power circuits, systems, and computing architectures. We are seeking candidates for several PhD positions, each focusing on one or more of the following cutting-edge research topics: Ultra-low