[Cugapost] Nuclear Talent course 2020 @ ECT* (online)

[Lorelei Carlson]

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<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.nucleartalent.org_&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=sbzyxkeroY58e-CkP8hQtA&m=6mtZj__KL4HwWr6zFV_KV0BTGSemV6rH3mDTr55UKVw&s=tO-d8wccSW8LJmdoY_ctkKDgnBWB3RsMccufYopHAmI&e=>.

This year, due to the COVID-19 pandemic we offer a digital variant of the course on:

Machine Learning and Data Analysis for Nuclear Physics, Fully Online Course

it will be held via the  ECT* in Trento, Italy,  from June 22 to July 3, 2020. The principal instructors will be Daniel Bazin (MSU), Morten Hjorth-Jensen (MSU), Michelle Kuchera (Davidson), Sean Liddick (NSCL), and Raghuram Ramanujan (Davidson math and computer science). 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 till 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 information with registration is at https://www.ectstar.eu/node/4472<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.ectstar.eu_node_4472&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=sbzyxkeroY58e-CkP8hQtA&m=6mtZj__KL4HwWr6zFV_KV0BTGSemV6rH3mDTr55UKVw&s=TYDGh8DbDzYPhDdSbjPRtbbuTEe5Q7s8Xjz2ax_Fm1M&e=>
Contact: Morten Hjorth-Jensen (hjensen at msu.edu<mailto:hjensen at msu.edu>)

Nuclear Talent & ECT*

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