60 engineering-in-image-processing Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including
-
conferences, and engaging in teaching activities. As a formal qualification, you must hold a PhD degree (or equivalent) in either electrochemistry, microbiology, fermentation, or environmental engineering, and
-
for carbon cycling, ecosystem functioning, fisheries, and services such as CO₂ sequestration. Despite their importance, many of these processes remain poorly understood due to Greenland’s remoteness and
-
Job Description If you are motivated to guide innovation by developing new biobased processes able to contribute to a greener and more sustainable future, this is the perfect position for you. We
-
and Mechanical Engineering (DTU Construct). In this role, you are advancing innovation by integrating material science, advanced processing techniques, and modelling to gain a comprehensive
-
is looking for a post doc with a background in seafood science and/or seafood development or processing for a large project in collaboration with Food and Agriculture Organisation (FAO), which is an
-
institutional context, job roles and available resources. You will be employed at DTU Management and be associated with the section for Organisation Science and Technology. You will work physically from CAISA
-
term, our microcoil based implant can be used to treat many illnesses associated with the brain and beyond. We also believe our technology can be used for other neurological illnesses that benefit from
-
(femtoseconds to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a
-
paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we