Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
tools from chemistry and biology, and apply these in studies of therapeutic peptides and proteins. Our aims are to develop modulators for protein-protein interactions (PPIs) and to provide molecular-level
-
such 6-15 GHz into use and developing the needed radio resource management innovations to unleash its full performance potential. This includes integrated scheduling, link adaption, MIMO adaption
-
Job Description Generative AI (GenAI) has taken the world and the software development scene by storm. GenAI has shown great promises of improving the productivity of developers, however, there are
-
learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
-
PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
aims to develop a safe, stable, and universal synthetic oxygen carrier— a new class of hemoglobin-loaded polymeric nanocarriers— that could serve as artificial red blood cells to be used in emergency
-
The need for blood-type matching in emergencies Risk of transmitting infections, such as HIV in the past This project aims to develop a safe, stable, and universal synthetic oxygen carrier— a new class of
-
influence its development directly. We are currently evolving our mechanical engineering degree program and constructing labs to support both educational activities and research. Workplace description
-
for the position. Our research areas At DTU Physics, we perform research in fundamental and applied physics areas and we use and develop state-of-the-art experimental and theoretical approaches. We have broad
-
wind turbines, etc. Our research on anti-corrosive coating mainly covers development of novel and advanced anti-corrosive coatings, non-destructive coating performance evaluation, coating integrity
-
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