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 » RadioMarconi
PRESS

RadioMarconi

by admin|Published November 2, 2023

RadioMarconi – 31 ottobre 2023

POMERIGGIO MARCONI – Ospite Paola Antonietti – Politecnico di Milano

You may also like

Published October 26, 2023

corriere.it – Synergy grants, Milano in prima fila nei finanziamenti europei per le ricerche più «ambiziose»

26 Ottobre 2023

Published October 19, 2024

The Technology Foresight working group at Politecnico di Milano interviewed by Frontiere

Frontiere recently interviewed the Technology Foresight working group at Politecnico di Milano, consisting of Paola Antonietti, Cristiana Bolchini, Francesco Braghin, Simona Chiodo, […]

Published December 30, 2023

maddmaths.simai.eu – Nuove generazioni di metodi numerici: il progetto NEMESIS

Il progetto NEMESIS -NEw generation MEthods for numerical SImulationS– è stato di recente finanziato nell’ambito dell’ERC Sinergy Grant 2023. Paola Antonietti, professoressa di Analisi Numerica […]

Published October 26, 2023

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

26 Ottobre 2023

Post navigation

  • Previous post MOX Colloquia: Alain Goriely, 26th October 2023
  • Back to post list
  • Next post Tumori: con la radiomica si punta a migliorare la diagnosi e personalizzare la terapia
      

© 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