Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
)? At the Technical University of Denmark (DTU), we are offering a fully funded PhD position focusing on providing an excellent triple-I (interdisciplinary / intersectoral / international) research and training network
-
), we are offering a fully funded PhD position focusing on providing an excellent triple-I (interdisciplinary / intersectoral / international) research and training network to Doctorial Candidates, with a
-
networks. Responsibilities and qualifications The primary goal of this position is to push the boundaries of computer vision and robotics. The overarching mission of our newly established research lab is to
-
cycling. The goal is to discover, produce, and characterize enzymes involved in conversion of persistent dissolved organic matter in the ocean, in order to understand the features of the enzymes as
-
PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed to circularity and sustainability in the footwear industry. Through advanced
-
Skłodowska-Curie Doctoral Network SCARPA, a European training network committed to circularity and sustainability in the footwear industry. Through advanced experimental work and risk modeling, you will help
-
PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
part of the Marie Skłodowska-Curie Doctoral Network called ‘NATECH Risk management and Resilience of High-TECH industries and Critical infrastructures across EUrope’ (REUNATECH). A short description of
-
-film solar cells.” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods for materials discovery. Project
-
Doctoral Network SCARPA in shaping the future of circular and sustainable footwear. As a PhD candidate, you will contribute to developing a better understanding of the compositional knowledge of shoes
-
framework for structural condition assessment to support resilience-oriented decision making in offshore marine infrastructures. An accurate and fast (near real-time) damage detection scheme lies in the core