Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of the devices in the state-of-the-art DTU Nanolab cleanroom facilities using quantum dot imaging, lithography, etching and metal deposition. In both projects, the overall objective is to increase the efficiency
-
with your CAPeX colleagues, you will develop, engineer, and test new experimental approaches which push the state-of-the-art fast and sensitive product detection in electrochemical and electrocatalytic
-
for realistic haptic control and feedback, real-time agent-based simulation for guiding optimal work task performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
-
theoretical models to describe the dynamics of quantum light sources, with the goal of understanding their behavior and improve their performance. You will work in close collaboration with the experimental team
-
for the position. At DTU Physics, we perform research, teaching, and innovation in experimental and theoretical physics with the overall aim to benefit society. We contribute to the transition to sustainable energy
-
perform research, teaching, and innovation in experimental and theoretical physics with the overall aim to benefit society. We contribute to the transition to sustainable energy via research and innovation
-
Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
available for sustainable bioproduction. By utilizing and advancing state-of-the-art tools for microbial engineering and characterization, you will develop and implement synthetic metabolism strategies
-
fluorescent nanoparticles,1-3 transition metal dichalcogenides,4-6 metal nanoclusters,7 metal halides, and quantum dots—using state-of-the-art ultrafast optical spectroscopy techniques. The research will focus
-
position focused on understanding and mitigating the environmental and health impacts of depolymerization of plastic waste, and production of new state-of-the-art bioplastics. This research sits
-
programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient