80 web-developer-university-of-liverpool PhD scholarships at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
Job Description The Transport Division of the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark (DTU) invites applications for a 3-year PhD
-
qualified candidate to develop research and methodological tools to assess and to improve the welfare of farmed fish, contributing to the sustainability of aquaculture practices in the EU. We offer a 3-year
-
Section, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). We look for a talented, self-driven, and collaborative individual with a passion for tackling complex
-
Job Description Do you want to be part of a team that is developing novel tools to create genetic medicines and better model systems for testing them? Then join the Precision Medicine Technologies
-
this challenge by developing privacy-preserving data sharing and analytics tools, with a focus on “differential privacy”. A core theme will be to balance privacy and utility: ensuring that shared data remains
-
Rodrigues, Prof. Kira Vrist Rønn (SDU), and Associate Prof. Line Harder Clemmensen (KU). You will work on research focused on developing AI-enhanced Agent-based Simulation tools to support Intelligence
-
cells provide new means for studying human health and disease in the lab. These systems may ultimately reduce the cost of drug development and accelerate biomedical research. Multi-material 3D printing
-
Job Description Are you eager to engineer the next generation of cancer therapies? Apply for a fully funded 3-year PhD position at the Technical University of Denmark (DTU), where you will work in
-
description Machine learning opens up new opportunities to accelerate the discovery of next-generation energy materials by combining predictive and generative approaches. In this project, we will develop neural
-
behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale