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Technical training: RF superconductivity and accelerator cavity applications

We are happy to announce a new training course organised by the TE-VSC group in the field of the physics and applications of superconductors. The course provides an overview and update of the theory of radiofrequency and superconductors: >>

MAD-X Training Course – 2016

MAD-X 2016 is a annual course series at CERN, within the framework of the 2016 Technical Training Programme on the MAD-X tool used around the world for designing, studying and simulating beam physics for particle accelerators. The lecturer is Laurent Deniau from BE-APB, who has led the MAD team since 2011.  >>

News Articles

A new type of coating to chase the clouds away  
Safety first!  
Latest news from the YETS: all restarting except the LHC  
LIGO: The strong belief  
ICTR-PHE 2016: Strength in numbers  
Of data and dust  
Organising a conference? Think about what you can do for start-ups!  
The next generation of experts in trigger and data acquisition gather at ISOTDAQ2016  
Three new students selected for the ATLAS PhD Grant Scheme  
From the CERN web: The Art of Science, Theory corridor, DAMPE and more  
Computer Security: one click and BOOM…  
Alice-Anne Martin (1926 - 2016)  

Official News

111th ACCU Meeting  
Taxation in France  
CERN Health Insurance Scheme (CHIS) – Reimbursement of contraception and sterilisation  
Taxation in Switzerland  
Summer work for children of members of the personnel  

Announcements

Warning: safety risk with some Apple AC Wall Plug Adapters  
The CERN Accelerator School  
2016 Asia-Europe-Pacific School of High-Energy Physics  
Have you heard?… again in 2016!  
Reclaiming unused IPv4 addresses  
Upcoming opening of CERN's new Mobility Centre  
Where students turn into teachers: the 9th Inverted CERN School of Computing  

Events

CERN Library | Herwig Schopper and Luigi Di Lella present "60 Years of CERN Experiments and Discoveries" | 10 March  
Swiss Première of the film "Deep Web" | 11 March 7 p.m. | CERN Main Auditorium  
Academic Training Lectures | Representing Scientific Communities by Data Visualization | 14-15 March  

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