93 algorithm-development-"UCL" PhD scholarships at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
-
experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly
-
more sustainable? If you share our passion for technology and the difference it can make in meeting the UN’s Sustainable Development Goals, perhaps you are one of our two new PhD students. At DTU Electro
-
achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
-
to material, cutting tools and parts production. The PhD project will therefore focus on the development of an integrated system combining direct and indirect tool wear monitoring for reliable residual life
-
expertise in autonomous marine systems. The research focus will be on development, implementation and verification of novel algorithms for motion planning and control of autonomous underwater vehicles. You
-
Job Description If you are establishing your career as a scientist and you have the ambition to develop groundbreaking technologies for advanced diagnostics for the body and multifunctional
-
. This project explores the complex physics of plasma-material interactions, powder ablation, and plasma turbulence in fusion devices. The aim is to develop a novel numerical simulation tool that integrates DTU’s
-
on the reactivation of cement and optimizing the cement blend. During the PhD study, the reactivity of recycled cement and thereby the strength development is optimized by the chemical elements that are missing in
-
We invite applications for a fully funded 3-year PhD position focused on developing next-generation robotic grippers for biological laboratories. The project combines advances in multi-material 3D