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VERSION:2.0
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CALSCALE:GREGORIAN
METHOD:PUBLISH
UID:4b5abe0f-4036-4142-af63-9c5a7be63ad1
X-WR-CALNAME:Defence of Christophe Caubet's thesis (I&S department\, TAD te
 am)
X-WR-TIMEZONE:Europe/Paris
BEGIN:VTIMEZONE
TZID:Europe/Paris
TZUNTIL:20250330T010000Z
BEGIN:STANDARD
TZNAME:CET
DTSTART:20221030T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20231029T030000
RDATE:20241027T030000
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:CEST
DTSTART:20230326T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RDATE:20240331T020000
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BEGIN:VEVENT
UID:4b5abe0f-4036-4142-af63-9c5a7be63ad1
DTSTAMP:20260420T183141Z
CLASS:PUBLIC
DESCRIPTION:Christophe Caubet will present his thesis entitled: 'Learning f
 rom multispectral and multi-platform data for surveillance mission systems
 '.\n
DTSTART;TZID=Europe/Paris:20230920T140000
DTEND;TZID=Europe/Paris:20230920T180000
LOCATION:Amphi LaBRI
ORGANIZER;CN=Pascal Desbarats:mailto:pascal.desbarats@labri.fr
SEQUENCE:0
SUMMARY:Defence of Christophe Caubet's thesis (I&S department\, TAD team)
TRANSP:OPAQUE
END:VEVENT
END:VCALENDAR
