74 data-compression Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
-
according to mutual agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Xenofon Fafoutis and Associate Professor Luca
-
that also act as green energy producers driving the societal transition towards net zero. In this position, you will build on your expertise in IoT and low-power computer and communication systems to research
-
, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models
-
design to testing, programming neural interfaces, neural data analysis. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
-
career paths at DTU here . Further information Further information may be obtained from Associate Professor, Christian Solem on chso@food.dtu.dk You can read more about the DTU National Food Institute
-
. Quantifying circular economy strategies for wind turbine rotor blades, including reuse, recycling, and feedback loops. Assessing the climate mitigation potential of circular construction materials through data
-
for an appointment as a postdoc in social dynamics and complex systems. The position is funded by the Villum Young Investigator grant titled “Bridging social neuroscience and social data science: uncovering
-
at the intersection of digital building technologies, data science, and energy systems. By joining our forward-thinking section Digital Building Technologies at DTU Construct, you will gain hands-on experience in
-
process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop