Skip to content
Back Home
  • People
  • RESEARCH & INNOVATION
    • Research Areas
    • FUNDED PROJECTS
    • Reports and books
  • Education
    • Computational Science & Computational Learning (CSCL)
    • Statistical Learning (STAT)
  • DISSEMINATION
    • Mox Colloquia
    • MOX SEMINARS
    • Conferences and Workshops
  • Societal Outreach
  • Media
    • News
    • PRESS
    • YouTube Channel
  • Search
Back Home
  • Search
  • People
  • RESEARCH & INNOVATION
    • Research Areas
    • FUNDED PROJECTS
    • Reports and books
  • Education
    • Computational Science & Computational Learning (CSCL)
    • Statistical Learning (STAT)
  • DISSEMINATION
    • Mox Colloquia
    • MOX SEMINARS
    • Conferences and Workshops
  • Societal Outreach
  • Media
    • News
    • PRESS
    • YouTube Channel
Home » PRESS » Radio2 – Giovedì 26 ottobre 2023 – (19:00 – 19:20) – Caterpillar – ERC Synergy Grant
PRESS

Radio2 – Giovedì 26 ottobre 2023 – (19:00 – 19:20) – Caterpillar – ERC Synergy Grant

by admin|Published October 26, 2023

You may also like

Published October 26, 2023

ansa.it – Dall’Ue 395 milioni a ricerche globali, dai vulcani al clima

26 Ottobre 2023

Published October 26, 2023

ilgiorno.it – Il linguaggio della Matematica chiave per curare il clima malato

Published October 26, 2023

EurekAlert.org -Politecnico di Milano and Università di Milano-Bicocca awarded an ERC Synergy Grant on next-generation numerical methods for sustainability challenges

Published August 1, 2023

Cuore digitale

An interview to prof. Alfio Quarteroni “Il romanzo della scienza”, newspaper “Il Cittadino”, 29-07-2023  

Post navigation

  • Previous post Conferment of the honorary title “Emeritus Professor” upon Professor Alfio Quarteroni
  • Back to post list
  • Next post meteoweb.eu – Metodi numerici di nuova generazione per le sfide della sostenibilità: a Milano-Bicocca e Politecnico un ERC Synergy Grant
      

© 2022 MOX Politecnico di Milano – Dipartimento di Matematica – Via Bonardi, n 9 – 20133 Milano – P.IVA 04376620151 – C.F. 80057930150

Privacy Policy

Cookie Policy

Contacts

Mail address:
p.za Leonardo da Vinci 32
20133 Milano
Phone: +39 02 2399 4611
Web site: mox.polimi.it
E-mail: lab-mox@polimi.it
E-mail: segreteria-mox@polimi.it