BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UM//UM*Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Detroit
TZURL:http://tzurl.org/zoneinfo/America/Detroit
X-LIC-LOCATION:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20071104T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251219T095230
DTSTART;TZID=America/Detroit:20260123T120000
DTEND;TZID=America/Detroit:20260123T130000
SUMMARY:Workshop / Seminar:NERS Colloquium
DESCRIPTION:The NERS Colloquia Series invites leading researchers\, industry experts\, and thought leaders from across the nuclear engineering and radiological sciences community to share their insights with students\, faculty\, and guests. Covering a wide range of topics—from cutting-edge research and emerging technologies to policy\, education\, and professional development—the weekly talks offer an opportunity to explore current issues and innovations shaping the future of the field.
UID:142955-21891849@events.umich.edu
URL:https://events.umich.edu/event/142955
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Michigan Engineering
LOCATION:Chrysler Center - 220
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260105T151651
DTSTART;TZID=America/Detroit:20260123T120000
DTEND;TZID=America/Detroit:20260123T130000
SUMMARY:Workshop / Seminar:Predicting RNA Secondary/Tertiary Structure: Thermodynamic and Bioinformatic Approaches
DESCRIPTION:Predicting RNA structure and stability from sequence requires a deep integration of experimental thermodynamics with computational modeling. Research in the Znosko lab has systematically quantified the energetics of fundamental RNA motifs (hairpins\, internal loops\, mismatches\, and non-canonical pairs) using optical melting. These data have expanded and refined nearest-neighbor parameters\, improving the accuracy of RNA secondary-structure prediction. Complementary algorithmic development and computational studies have enabled the incorporation of these parameters into predictive tools.  Bioinformatic analyses have evaluated sequence–structure relationships across large datasets and identified sequence families that exhibit similar structural features\, informing both modeling and design. Together\, these efforts bridge experiment and computation to advance a more predictive framework for RNA folding\, with implications for understanding natural RNA function and engineering RNA-based systems.
UID:136574-21878872@events.umich.edu
URL:https://events.umich.edu/event/136574
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Biophysics
LOCATION:Chemistry Dow Lab - 1640
CONTACT:
END:VEVENT
END:VCALENDAR