BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Mechanobiology Institute, National University of Singapore - ECPv6.15.12.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Mechanobiology Institute, National University of Singapore
X-ORIGINAL-URL:https://www.mbi.nus.edu.sg
X-WR-CALDESC:Events for Mechanobiology Institute, National University of Singapore
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Singapore
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:+08
DTSTART:20190101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20200922T100000
DTEND;TZID=Asia/Singapore:20200922T103000
DTSTAMP:20260405T132903
CREATED:20200922T005610Z
LAST-MODIFIED:20200922T005610Z
UID:30199-1600768800-1600770600@www.mbi.nus.edu.sg
SUMMARY:MBI SPSS: From traditional programming to machine learning for bio-image analysis  by Anne Beghin and Richard De Mets
DESCRIPTION:MBI Student and Postdoc Seminar Series (SPSS)\nTime: 10.00am – 11.00am\nDate: Tuesday\, 22 September 2020\nVenue: Online seminar via ZOOM \nFrom traditional programming to machine learning for bio-image analysis\nby Anne Beghin\, Senior Research Fellow\, Viasnoff Group\, Facility Manager\, Microscopy Core and Richard De Mets Research Fellow\, Kanchanawong Group\, Deputy Facility Manager Microscopy Core \n  \nPlease note this event is open to MBI researchers and invited guests only. \n  \nMBI SPSS Fully Webcasted\nThe access link and password will be sent to you on the day of seminar via email.  If you need help connecting\, contact MBI ITCore at mbit@nus.edu.sg.
URL:https://www.mbi.nus.edu.sg/event/mbi-spss-from-traditional-programming-to-machine-learning-for-bio-image-analysis-by-anne-beghin-and-richard-de-mets/
LOCATION:Webcast only
CATEGORIES:MBI Student & Postdoc Seminar
END:VEVENT
END:VCALENDAR