(https://cai.ucm.es/en/bioimaging/) Expertise: Magnetic Resonance Imaging (MRI), Magnetic Resonance Spectroscopy (MRS) both in vivo and in vitro (HRMAS), Positron Emission Tomography (PET) and Computed Tomography (CT)
(https://www.cnme.es) Expertise: Electron Microscopy (EM), Scanning transmission electron microscopy (STEM), conventional transmission electon microscopy (CTEM), scanning electron microscopy (SEM) , X-ray energy dispersive spectroscopy (XEDS), electron energy-loss spectroscopy (EELS), electron correlation and crystalchemistry Topic you would like to collaborate
(https://cai.ucm.es/en/bioimaging/) Expertise: Magnetic Resonance Imaging (MRI), Magnetic Resonance Spectroscopy (MRS) both in vivo and in vitro (HRMAS), Positron Emission Tomography (PET) and Computed Tomography (CT)
During the years, an interdisciplinary group of researchers at University of Milan has developed significant competences in the analysis of socio-economic impact of RIs and CFs using a variety of approaches. These include both a cost-benefit assessment of infrastructures and their impact valuation on specific stakeholders (e.g. industry and scientific community). The group welcomes the opportunity to share its expertise and is happy to consider collaboration initiatives in the area of the economic analysis of research infrastructures and core facilities.
We consider the staff exchange programme as a unique opportunity for sharing expertise and experiences as well as expanding the ESRF’s network. ESRF is a highly multidisciplinary and multinational research institution where collaborative innovation is a core business.
ECCSEL will gladly like to share its expertise on those different fields but also use that opportunity to assess similarities and differences with RItrain partners.
Description Benefits from staff exchanges include learning from others on areas where we lack the know-how. FORS – Swiss Centre of Expertise in the Social Sciences, https://forscenter.ch/ Scientific domain of expertise: Data archiving; survey methodology; data production in the social
It is an incredible opportunity and of great value to be able to carry out staff visits between the different RIs or CFs. Watching and learning how they work and are managed in other organizations is vital to be able
Description Provide training and exchange programmes for user communities and professional staff, Increase ocean literacy across all domains Promote knowledge transfer between Research Infrastructures Foster and develop new collaborations with other RI’s Name of RI, CF, including website: Eurofleets+
Description Opportunity to exchange ideas and to create a stable network for interdisciplinary research and advanced training Establish or strengthen collaboration Share experience and knowledge, having the opportunity to solve / discuss issues that concern most of the RIs Improve