Sort by
Refine Your Search
-
for research and innovation in the area of food allergenicity prediction. Responsibilities and qualifications In this PhD project you will contribute to the development of innovative methods allowing
-
testing dynamic equivalencing methods for power system dynamic simulations and integrating these into commercial simulation tools. Dynamic equivalents are simplified representations of complex power system
-
educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to disseminate this knowledge to society and future
-
acquisition and statistical methods is an advantage. Experience with numerical simulations (FEM). You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
-
at strengthening welfare, productivity, and sustainability within the society. A key element is the role of technology and its interaction with industry and individuals. Explore more at www.man.dtu.dk . Technology
-
qualifications we are looking for: Excellent knowledge and practical experience on current molecular microbiology methods Experience with genomic and transcriptomics data analysis is beneficial. Experience with
-
-situ spectroscopic and microscopic methods, including XRD, Raman spectroscopy, TEM, and XPS. Evaluating catalytic performance for various electrochemical reactions, such as the oxygen reduction reaction
-
and machine learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three
-
the biochemical, physicochemical, and techno-functional properties of the extracted material using state-of-the-art facilities. Scale up the extraction methods using the advanced facilities available
-
process. An integral part of the project will be the development of enhanced data-driven physics methods to achieve reliable prediction of material removal rate and material removal distribution