72 component-labeling-agorithm-cuda PhD positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
an essential component of the project and will contribute to the interdisciplinary nature of your PhD. We expect candidates to have demonstrated experience or strong interest in the following areas
-
Job Description We are looking for an ambitious biologist or veterinarian with an interest in diet, intestinal microbiome and chronic kidney disease. You will become part of our internationally
-
supervisors and fellow researchers, you will contribute to the development of solvers for combinatorial optimization problems and apply them to real-world data from industrial partners. As part of your PhD, you
-
. An external research stay of approximately 3 months in a collaborating institution is a mandatory part of this PhD fellowship position. You will work in close collaboration with experienced researchers and
-
your chance to shape the future of smart food regulation, both in Denmark and globally. At DTU Food, you'll be part of an ambitious research team that is redefining regulatory food systems in Denmark's
-
energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in
-
“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark
-
Identification System (AIS) for ship detection. You must be fluent in English, both speaking and writing and possess excellent communication skills. As part of the Danish Ph.D. program, you will follow a number of
-
partners from Denmark and the Netherlands. Thus, these 2 PhD projects will be an integral part of a broader research team, consisting of collaborating partners with a common passion for autonomous
-
. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled together will finally inform