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UID:69c44f98-c474-45ca-b9f3-ec376f0b0c6c
DTSTAMP:20261113T084513Z
SUMMARY:Machine Learning for Microscopy Hackathon 3
DESCRIPTION:<p><strong>Machine Learning for Microscopy Hackathon 3</strong>
 \, is an international event hosted locally by ICN2's <a href="https://icn
 2.cat/en/research/research-group/advanced-electron-nanoscopy" target="_bla
 nk">Advanced Electron Nanoscopy Group</a>.</p><p>The event focuses on coll
 aborative problem-solving at the intersection of <strong>machine learning\
 , materials science and microscopy</strong>. It brings together researcher
 s\, professionals\, and students to tackle real-world challenges and advan
 ce data-driven research.</p><p>This year\, participants can join <strong>o
 nline or in person</strong>\, with <strong>ICN2 hosting one of the onsite 
 locations in its Seminar Room</strong>. Thermo Fisher Scientific is among 
 the event's sponsors.</p><p><strong>&nbsp\;Event details</strong></p><ul><
 li data-list-item-id="eb8d7bb5205c7aa0a78744899cf62e338"><strong>Dates:</s
 trong> 15–17 December 2026</li><li data-list-item-id="e7b3454dccc4c260ca
 1d47fd130ab9b33"><strong>Location:</strong> ICN2 Seminar Room\, other onsi
 te locations worldwide (<a href="https://kaliningroup.github.io/mic_hackat
 hon_3/sites/" target="_blank">see locations</a>)\, and online</li><li data
 -list-item-id="e12dfb829ae8d1d86f5dacf3fe5831b1d"><strong>Format:</strong>
  Team-based project development\, hands-on challenges\, mentorship and net
 working opportunities</li><li data-list-item-id="e6df529bc6b140feece760088
 691f828e"><strong>Registration:</strong> <a href="https://kaliningroup.git
 hub.io/mic_hackathon_3/registration/" target="_blank">Register here</a> (b
 y 6 December for in-person participation or 13 December for online partici
 pation)</li><li data-list-item-id="e2f7b91d98c3610867721674a8525c0e2"><str
 ong>Awards:</strong> <a href="https://kaliningroup.github.io/mic_hackathon
 _3/awards/" target="_blank">Discover the prizes</a>\, including cash prize
 s of up to $5\,000!</li></ul><p><strong>&nbsp\;Why participate?</strong></
 p><ul><li data-list-item-id="e56aa64aefa3b7298fc5cc6505cfa1c91"><strong>Co
 llaborate</strong> with researchers\, professionals\, and students from di
 verse backgrounds.</li><li data-list-item-id="e86f21ca2449fe421948d5f8f09e
 e6bc1">Tackle <strong>real-world challenges</strong> in materials science 
 and microscopy using innovative technologies.</li><li data-list-item-id="e
 423dd7f1bafc1332daa78deafdf07e16">Gain hands-on experience with <strong>ma
 chine learning tools</strong> and data analysis workflows.</li><li data-li
 st-item-id="e168cf557ed4ac17a15439b4be8fd459f"><strong>Connect</strong> wi
 th experts in the field and explore new collaboration opportunities.</li><
 li data-list-item-id="e76eabb19fa300a5f068368605b766a7b">Compete for <stro
 ng>awards and recognition</strong> while contributing to meaningful soluti
 ons.</li></ul><p><strong>&nbsp\;Project areas</strong></p><ul><li data-lis
 t-item-id="e585a785278e1bcfff2d2b2917f27f007">Machine learning application
 s for microscopy and materials data.</li><li data-list-item-id="eab6857afa
 e387c6ca39d10697c94d33b">Software development for data management.</li><li
  data-list-item-id="e0073374f68551461f100c3164e3f5c52">Team-based challeng
 es and presentations of proposed solutions.</li></ul><p>Whether you're an 
 expert or just getting started\, <strong>everyone is welcome to participat
 e!</strong></p><p><a href="https://kaliningroup.github.io/mic_hackathon_3/
 registration/" target="_blank"><strong>Register now</strong></a><strong> a
 nd join us on 15–17 December!</strong></p>
DTSTART:20261214T230000
DTEND:20261217T225900
LOCATION:ICN2 Seminar Room
CATEGORIES:ICN2 participated Congresses and Workshops
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