Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
will contribute to, and lead, include: Building and operating ultra-high vacuum and laser systems. Building electronics and automation schemes. Learning/operating fabrication and characterization
-
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
-
processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more
-
: Specialization in machine learning and computer vision. Strong skills in developing computer vision and AI models. Experience with thermography or thermal imaging. Experience in data fusion and multimodal learning
-
, culture and learning in the heart of Sønderborg and perched on the strait of water separating the island of Als from the mainland. The university has very close relations to the industry in Sønderborg
-
of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best
-
of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best
-
PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
. Our focus areas include drug delivery, cell mimicry, and tissue engineering. Learn more about our work: www.healthtech.dtu.dk/3bs . About the project: Artificial red blood cells Blood transfusions
-
, for static and dynamic measurements and reliability measurements). Key Responsibilities Research & Learning: Develop expertise in GaN device physics and wide-bandgap semiconductor technology. Simulation
-
computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics