NordForsk has decided to fund four postdoctoral research fellowships for young researchers in Denmark and Sweden within the Nordic Neutron Science Programme. The projects will receive a total of 6 million NOK.
We follow the principles of “Integrative Social Robotics,” a strictly value-oriented approach, and for this reason focus on the use of robots as facilitators of human social interactions, and not as replacements of human actors.
The studies on the development of children’s language skills and the technology developed in the project are expected to have notable impact, benefiting individuals, businesses and the Nordic societies. Our interdisciplinary research team has background and experience in engineering, cognitive neuroscience, psycholinguistics, speech-language pathology, and language education.
The key breakthrough we aim to accomplish in this project is based on specific advantages of graphene: i) its ability to physically penetrate the bacterial biofilm, and ii) its ability to serve as a loading point for large amounts of hydrophobic drugs.
Developing an older design, this proposal would provide a high flux beam of specially prepared cold i.e. slow neutrons. Using specialist engineering and simulation tools, an instrument providing the highest possible sensitivity for fundamental physics experiments.
We hope to follow the temperature dependent exchange-coupling mechanism of the magnetic nanocomposite CoFe2O4/CoFe2 and to follow the sintering process of magnetic W-type Sr-hexaferrite in an effort to increase the magnetic properties.
The innovative cell design is set to provide essential benefits to a broad range of research areas that rely on neutron studies of complex interfaces such as biological membrane science, antibiotic research and several topics in soft matter and polymer science. Specifically, within this project, two science cases will be addressed to validate the benefits of the novel sample environment.
The DigiHeart project, a consortium of researchers and industry partners form Norway, Sweden and the Faroe Island will develop technology and control systems that use machine learning to continuously survey data about all these factors, in addition to operational and environmental conditions to identify causes behind heart disease and mortality in farmed salmonids.