Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
-
degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who are cooperating across
-
units are united by an overriding concern for the organization of the human within its multiple environments: work, technology, nature, economy, civil association, the state, the law, and corporation
-
tasks will consist of: Brainstorming and designing how to handle samples for multiple analysis. Optimization of protocols for tissue preparation before further analysis of disease mechanisms (and drug
-
for the organization of the human within its multiple environments: work, nature, economy, civil association, the state, and corporation. BHL also participates in numerous interdisciplinary cross-CBS
-
management. What unites faculty is an overriding concern for the organization of the human within its multiple environments and, by implication, a research interest in the interdisciplinary conversation
-
Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
foundation in multiple cryo-EM structures. Here the postdoc will work closely together with a PhD student dedicated to this project. The single molecule data will be obtained by the postdoc at a local state of
-
curricular courses, company collaborations, and startup programs. Since 2013, Skylab has been an engaging and inclusive learning space with offices, teaching, event facilities, multiple workshops, and
-
and develop a course portfolio for multiple BEng study programs, with different perspectives within product development: design modelling, design thinking, human centered design, sustainable design
-
the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with