Opendata, web and dolomites

BORGES SIGNED

Biosensing with ORGanic ElectronicS

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 BORGES project word cloud

Explore the words cloud of the BORGES project. It provides you a very rough idea of what is the project "BORGES" about.

transversal    beneficiary    training    diverse    bio    exposure    proficiency    sectors    biochemistry    12    environment    truly    form    context    constructed    fabrication    bioelectronics    curricula    living    fast    physics    bridge    fundamentals    train    perspective    gap    clear    received    communication    multisectorial    substantially    hardly    clinical    borges    conductivity    characterization    organic    trainees    employability    degrees    drive    biosensing    scientifically    digital    innovators    centres    perspectives    biosensors    science    materials    qualified    mixed    least    industrially    background    ionic    professionals    socio    positions    job    holistic    associate    fellows    encompassing    generation    young    electronics    institutional    economic    qualify    competencies    educated    solid    chemistry    technological    career    operate    nodes    industrial    academic    engineering    exposing    interdisciplinary    ensures    network    scientific    electronic    rising    acquiring    academia    scenarios    exhibit    demonstration   

Project "BORGES" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA 

Organization address
address: VIA UNIVERSITA 4
city: MODENA
postcode: 41121
website: www.unimore.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 3˙979˙589 €
 EC max contribution 3˙979˙589 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2018
 Funding Scheme MSCA-ITN-ETN
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA IT (MODENA) coordinator 522˙999.00
2    LINKOPINGS UNIVERSITET SE (LINKOPING) participant 563˙965.00
3    FUNDACIO INSTITUT DE BIOENGINYERIA DE CATALUNYA ES (BARCELONA) participant 501˙809.00
4    RISE ACREO AB SE (KISTA) participant 281˙982.00
5    ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS FR (PARIS) participant 274˙802.00
6    UNIVERSITE DE STRASBOURG FR (STRASBOURG) participant 274˙802.00
7    CULGI BV NL (LEIDEN) participant 265˙619.00
8    AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH AT (WIEN) participant 264˙207.00
9    KEYSIGHT TECHNOLOGIES GMBH AT (WIEN) participant 264˙207.00
10    SCRIBA NANOTECNOLOGIE SRL IT (BOLOGNA) participant 261˙499.00
11    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) participant 252˙788.00
12    ACONDICIONAMIENTO TARRASENSE ASSOCIACION ES (TERRASSA) participant 250˙904.00
13    HERAEUS DEUTSCHLAND GMBH & CO KG DE (HANAU) partner 0.00

Map

 Project objective

Organic Bioelectronics is a fast-rising field encompassing organic electronic devices that exhibit mixed electronic and ionic conductivity. It represents a truly unique communication bridge across the technology gap existing between the living systems and digital electronics. Biosensing is one of the most scientifically and industrially promising application of organic (bio)electronics. It is important to form young professionals that will be able to operate into this highly-interdisciplinary field, where proficiency in chemistry, materials science and technology, solid state physics, biochemistry, engineering is needed. Such curricula can be hardly constructed within institutional degrees, at least not at the level that can be provided by a European Training Network. The objective of BORGES is to train the next generation of R&D innovators in organic bioelectronics, with the aim of developing organic biosensors up to demonstration in an end-user significant context. BORGES trainees will be educated with a holistic perspective of the technology, from fundamentals and fabrication, through characterization, to clinical/research user scenarios. BORGES training will be based on i) acquiring solid background in different scientific and technological fields; ii) exposing trainees to diverse sectors, from academia to technological research centres to industrial nodes; iii) fostering the development of transversal competencies. The BORGES Network is composed by 12 beneficiary institutions and one associate partner. With 4 non-academic nodes, and research centres with a clear industrial drive, BORGES ensures exposure of its fellows to a truly multisectorial environment. The state of the art training received by its fellows in a rapidly growing field with a strong socio-economic impact will fully qualify them to access novel and highly qualified job positions, and to substantially increase their employability and career perspectives.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BORGES" 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 "BORGES" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.1.)

ORBITAL (2019)

Ocular Research By Integrated Training And Learning

Read More  

INSPIRE (2020)

INnovation in Safety Pharmacology for Integrated cardiovascular safety assessment to REduce adverse events and late stage drug attrition.

Read More  

MLFPM2018 (2019)

Machine Learning Frontiers in Precision Medicine

Read More