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TZID:America/Detroit
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X-LIC-LOCATION:America/Detroit
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TZOFFSETFROM:-0500
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TZNAME:EDT
DTSTART:20070311T020000
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DTSTART:20071104T020000
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BEGIN:VEVENT
DTSTAMP:20231130T092028
DTSTART;TZID=America/Detroit:20231130T100000
DTEND;TZID=America/Detroit:20231130T110000
SUMMARY:Workshop / Seminar:LSA Mental Health and Well-being Student Advocate Listening Tour for Students
DESCRIPTION:We are conducting listening tours to gain insight into your experiences as students in engaging with mental health and well-being at LSA.
UID:114104-21832350@events.umich.edu
URL:https://events.umich.edu/event/114104
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Virtual
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20231021T133022
DTSTART;TZID=America/Detroit:20231130T100000
DTEND;TZID=America/Detroit:20231130T110000
SUMMARY:Lecture / Discussion:PhD Defense: Xinyu Fei
DESCRIPTION:Xinyu Fei is a Ph.D. student in Industrial and Operations Engineering. Her research focuses on developing models and efficient algorithms for solving large-scale nonconvex optimization problems in complex networks. Methods include stochastic integer programming\, distributed optimization\, parallel computing\, and statistical learning. Applications include traffic signal control\, resource allocation/re-distribution\, and coordination of reopen/closedown decisions during pandemic emergency response.\n\nAdvisor: Siqian Shen\nPosition Sought: Industry\, Academia\nAvailability: 2024
UID:114311-21832661@events.umich.edu
URL:https://events.umich.edu/event/114311
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Dissertation,Industrial And Operations Engineering,Ioe Defenses,Ioephdstudents,Ioephdtalks
LOCATION:Industrial and Operations Engineering Building - 2717
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20231215T073302
DTSTART;TZID=America/Detroit:20231130T110000
DTEND;TZID=America/Detroit:20231130T150000
SUMMARY:Exhibition:Investigate Labs
DESCRIPTION:Step into our two Investigate Labs\, where you can use scientific tools and museum specimens to answer questions and solve problems. Our labs offer activities most appropriate for ages 6 and up. Schedule subject to change.
UID:96857-21831606@events.umich.edu
URL:https://events.umich.edu/event/96857
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Children,Museum,natural history museum,Natural Sciences,Science
LOCATION:Museum of Natural History
CONTACT:
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