13 bayesian-estimation Postdoctoral positions at Delft University of Technology (TU Delft) in Netherlands
Sort by
Refine Your Search
-
Listed
-
Field
-
) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
-
field, as part of our group's mission to bring quantum networks to society. The successful candidate has an excellent track record in computer science, computer engineering, or related fields, with
-
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 Contribute your computer vision
-
multifidelity modelling, and goal-oriented numerical error estimation. The resulting surrogate model will map uncertain meta-ocean conditions to key quantities of interest for OFPV performance and sustainability
-
16 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
-
16 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
-
Dutch storm surge barriers to improve estimates of their functional and technical lifetime. Within this program, you will contribute to the work package on the technical performance of storm surge
-
advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement computer vision algorithms for accurate landing
-
24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
-
will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell