BEGIN:VCALENDAR
PRODID: University of Exeter
VERSION:2.0
BEGIN:VTIMEZONE
TZID:Europe/London
X-LIC-LOCATION:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20190704T103000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20190704T103000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
END:STANDARD
END:VTIMEZONE
METHOD:PUBLISH
BEGIN:VEVENT
SUMMARY; CHARSET=UTF-8 :QBME Drop-in Session - St. Luke's
UID:exeter_event_9444
URL:http://www.exeter.ac.uk/events/details/?event=9444
DTSTART;VALUE=DATE:20190704T103000
DTEND;VALUE=DATE:20190704T113000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
ORGANIZER: MAILTO:C.J.Walker@exeter.ac.uk
ATTACH: http://www.exeter.ac.uk/events/details/?event=9444
DTSTAMP:20190701T155535
LOCATION:South Cloisters 3.16
DESCRIPTION; CHARSET=UTF-8 :Session to provide quantitative support for biomedical and clinical research projects. Bring your questions, ideas, problems... We are a team of quantitative researchers who collaborate widely across the clinical and biomedical sciences and are always keen to forge new connections across the University and beyond. 

Our research fellows have expertise in mathematical modelling, bioinformatics, image analysis and machine learning. Alongside the support of a research fellow, the QBME offers funding (up to £10k) for seed corn projects to launch new research collaborations. Since this program began in 2015, >30 awards have been made to UoE affiliated researchers.  http://www.exeter.ac.uk/events/details/?event=9444
SEQUENCE:0
PRIORITY:5
CLASS:
STATUS:CONFIRMED
TRANSP:TRANSPARENT
X-MICROSOFT-CDO-IMPORTANCE:1
X-Microsoft-CDO-BUSYSTATUS:FREE
X-MICROSOFT-CDO-INSTTYPE:0
X-Microsoft-CDO-INTENDEDSTATUS:FREE
END:VEVENT
END:VCALENDAR