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TALENT 2020 Special edition

 The TALENT initiative, Training in Advanced Low Energy Nuclear Theory, aims at providing advanced and comprehensive training to graduate students and young researchers in all aspects of low-energy nuclear theory. TALENT offers intensive three-week courses on a rotating set of topics.  General information on TALENT and past courses can be found at http://www.nucleartalent.org

 
This year, due to the COVID-19 pandemic we offer a fully online variant of the course on:
 
Machine Learning and Data Analysis for Nuclear Physics
 
It will be held via the  ECT* in Trento, Italy,  from June 22 to July 3, 2020. The principal instructors will be 
 
  1. Daniel Bazin (MSU/NSCL/FRIB), 
  2. Morten Hjorth-Jensen (MSU/NSCL/FRIB), 
  3. Michelle Kuchera (Davidson College), 
  4. Sean Liddick (MSU/NSCL/FRIB), and 
  5. Raghuram Ramanujan (Davidson College). 
 
Videos of the learning material, programs and all digital learning material will be made available to participants before the lectures start in a dedicated Classroom on Microsoft Teams. During the week of June 22-26 and June 29 to July 3, we will have online live lecture sessions from 2 pm to 4 pm Central European Time (CET), with questions and answers sessions from 5 pm to 6 pm CET. The standard variant of this course, with in-person attendance is postponed to the summer of 2021. For applications and more information for the online TALENT course, please go to the website of the European Center for Theoretical Studies in Nuclear Physics and Related Areas, ECT*. The link with more information and registration is at https://www.ectstar.eu/node/4472
All material with schedule etc. will be  available at https://github.com/NuclearTalent/MachineLearningECT
 
 

Admission and Application

 The students are expected to have operating programming skills in an interpreted language like Python or compiled languages like C/C++ and/or Fortran as well as  knowledge of nuclear physics and quantum mechanics at an intermediate level. 

The target group is Master of Science students, PhD students and early post-doctoral fellows. Also senior staff can attend but they have to be self-supported. The maximum number of students is 25-30, of which only at most 15-20 can receive full local support. The process of selections of the students will be managed in agreement with the ECT*.

Application for the ECT* TALENT School should be made electronically through the webform.

It should include:

  • Curriculum vitae
  • Description of academic and scientific achievements
  • Short letter expressing the applicant's personal motivation for attending the course

 

 

Deadline for applications [EXTENDED]: June 12, 2020