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DTSTART:20070311T020000
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DTSTAMP:20200114T144101
DTSTART;TZID=America/Detroit:20200206T150000
DTEND;TZID=America/Detroit:20200206T170000
SUMMARY:Workshop / Seminar:Rackham North: Establishing a Positive Relationship with Your Research Advisor
DESCRIPTION:The advisor/advisee relationship is critical to graduate student success. Participants in this workshop will reflect on the roles that their advisor plays in their graduate education\, as well as the importance of establishing a broader network of support. We will also discuss a process for developing and agreeing upon shared expectations with your advisor so that you set yourself up for a positive working relationship.\nThis workshop is designed for graduate students and postdoctoral fellows. Space is limited. For faculty and staff\, please contact RackhamEvents@umich.edu to see if we can accommodate your attendance.\nRegistration is required at https://myumi.ch/jx21d.\nWe want to ensure full and equitable participation in our events. If an accommodation would promote your full participation in this event\, please follow the registration link to indicate your accommodation requirements. Please let us know as soon as possible in order to have adequate time (one week preferred) to arrange for your requested accommodation(s) or an effective alternative.
UID:70536-17604929@events.umich.edu
URL:https://events.umich.edu/event/70536
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Michigan Engineering,Graduate Students
LOCATION:Pierpont Commons
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20200131T140111
DTSTART;TZID=America/Detroit:20200206T150000
DTEND;TZID=America/Detroit:20200206T160000
SUMMARY:Workshop / Seminar:Surfing the Secretory Pathway
DESCRIPTION:Scientist working on Golgi membrane trafficking\nThis is an event from the Protein Folding Diseases Initiative
UID:72331-17974682@events.umich.edu
URL:https://events.umich.edu/event/72331
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Bsbsigns,Biosciences,Biology,Basic Science
LOCATION:Palmer Commons - Forum Hall
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20200131T150428
DTSTART;TZID=America/Detroit:20200206T160000
DTEND;TZID=America/Detroit:20200206T170000
SUMMARY:Lecture / Discussion:BME 500: Jun Li\, Ph.D.
DESCRIPTION:In today’s research we often talk about knowledge-extraction from Big Data\, and integration across different scales: molecules\, cells\, tissues/organs\, organisms and their communities.  The pursuit of multi-scale synthesis has a long history.  For the microscopic world we have largely succeeded in connecting the chemical properties of molecules with the facts of atoms and their constituents and interactions.  In epidemiology\, many are currently applying linear mixed models to quantify the genetic contribution of disease risks in the general population.  By and large\, we live with the tacit belief that basic principles\, once found\, will be simple and elegant\, and that we can build Systems Biology from the ground level.  This leads to a pointillistic research culture\, as when we try to explain the heredity of complex traits by summing up the individual actions of millions of DNA variants\, or when we look for the neural basis of behavior by the connectivity and firing patterns of millions of neurons. \nI will use this talk to share some thoughts on the emerging appreciation that\, in biomedical data science\, perhaps the best one can learn is not widely generalizable Mechanisms\, but different laws for different scales of organization.  There may not be a good chance\, and perhaps no need\, to \"know\" a system by brute force accumulation of larger and larger data at the bottom level. Acknowledging the irreducibility of highly-level phenomena in biology and medicine can help us appreciate the distinct methods\, norms\, and compromises in traditional disciplines\, and steer the society's investment towards balanced collection of good data on all levels.  By giving up the blind celebration of sample size\, we give more attention to new technologies that can measure what was previously inaccessible\, and to the next-generation of information science that embraces messy\, context-specific models.
UID:70419-17594471@events.umich.edu
URL:https://events.umich.edu/event/70419
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:engineer,Life Science,engineering,Basic Science,bme,Biotechnology,Biosciences,Bioninterfaces,biomedical engineering,biomedical,Biology,Biointerfaces
LOCATION:Electrical Engineering and Computer Science Building - 1200
CONTACT:
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