Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
e-fuels will be more expensive, at least initially, it is of paramount importance to use them with the highest possible efficiency. Traditional Spark Ignition and Compression Ignition Internal
-
patients facing depth-electrode testing, which is invasive and expensive. The opportunity: We've just shown that parallel transmit 7T MRI produces the best images for detecting epilepsy lesions (see our
-
administrative teams, serving as a critical link across multiple stakeholders and ensuring seamless operations at every level. Your success will rely on your ability to manage details while keeping the big picture
-
coherence tomography (OCT) imaging, then we have the ideal opportunity for you. Come and be a part of the “Table-Top Synchrotron” project and one of the world’s strongest groups in this field in our quest
-
on both public transport, walking and bicycle trips focusing on the full door-to-door travel. The data sources include image data in terms of photos and videos of the urban landscape as well as in and
-
can be used for operando diffraction and imaging experiments on metal-air batteries during charge/discharge. Perform detailed materials characterization of the components of the battery using e.g. in
-
of the project is to bring about a paradigm shift in the design of switchable materials, by delving into the uncharted territory of f -element valence change (VC). The VC materials will be constructed using rigid
-
disease diagnostics. Responsibilities: Design, prototype, and test microfluidic systems for point-of-care biosensing applications Develop implantable or wearable devices for real-time in vivo diagnostics
-
Job Description If you want to contribute to pioneering quantum-enhanced biomedical imaging in a leading international research environment, we might have the position for you. At DTU Physics
-
endoscopy, this is the right research project for you. The PhD research project aims to explore and develop probes for ex-vivo and in-vivo applications for tissue imaging, classification and identification by