Sort by
Refine Your Search
-
Job Description If you have extended experience in imaging and imaging analysis from two- and three-dimension (3D) cell culture and your aspiration is to be at the forefront of system biology and
-
given to: Research experience in seafood science and technology Experience with chemical and/or microbial analysis Some knowledge or experience with product development activities Supervision and teaching
-
journals To succeed in this role, you should: Have a strong knowledge of mechanics of materials and hands-on experience with mechanical testing Have experience with materials characterization techniques, e.g
-
continuous-variable quantum computing using 3D cluster states and hybrid (photon number + quadrature) detection. TopQC2X (Innovation Fund Denmark): Experimental primitives for topological quantum computing
-
to join our group. The candidates will join an ambitious international research and innovation project focused on silicon quantum photonics. The overarching goal of this newly funded project is to realize
-
ideal candidate will have: Experience with Earth Observation techniques, particularly ocean color remote sensing and marine optics Experience in planning and conducting field and laboratory work Knowledge
-
Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
at their main site in Jutland. You have a solid background in electrochemistry and materials science, and you will make use of your experiences with materials synthesis and characterization as well as with
-
associated with a research project jointly funded by the European Commission and Innovation Fund Denmark (IFD). It is a large European project with a consortium of 68 partners that aims at giving
-
Job Description DTU Bioengineering is excited to announce an open postdoc position, as part of a new initiative for biofertilizers innovation. Our goal is to advance the fundamental understanding
-
-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design