The international manufacturing industry is undergoing radical changes in the way items are digitally printed and fabricated.
From the home to aerospace, the speed of change has had impacts on traditional methods of printing, and which has led to
incomplete understanding of the design and reproduction workflow, for example accurate measurement of the optical and
material properties, gloss, modelling and controlling printing systems beyond colour.
To provide a strategic response to the needs of the industry, the group Appearance Printing – European Advanced
Research School (ApPEARS), is a robust European network that builds upon the extensive experience across the partners,
and is at the forefront for leading an innovative training programme. It will facilitate the successful completion of high quality
PhDs by a significant body of ESR students through collaborative supervisory and research training practices which
encompass innovative cross-disciplinary methodologies.
It will co-create student research projects with cross sector partners and develop career potential through a structured
programme of training events and placement opportunities across Europe. It will produce models of good practice for training
and cross-disciplinary research that can be applied in the arts, science and technology fields.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "APPEARS" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "APPEARS" are provided by the European Opendata Portal: CORDIS opendata.
More projects from the same programme (H2020-EU.1.3.1.)
NL4XAI (2019)
Interactive Natural Language Technology for Explainable Artificial Intelligence