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DTSTART:20070311T020000
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DTSTAMP:20250228T112043
DTSTART;TZID=America/Detroit:20250228T120000
DTEND;TZID=America/Detroit:20250228T133000
SUMMARY:Workshop / Seminar:Converting Your Ph.D. CV to a Resume Lab
DESCRIPTION:In this interactive workshop\, the Rackham embedded University Career Center Ph.D. coaching team will guide you through converting your academic CV to an industry resume.Brief best practices will be shared\, but most of the time will be spent actively working on your resume\, so bring a laptop or a few printed copies of your CV or resume.Lunch will be provided so space is limited!
UID:130912-21867323@events.umich.edu
URL:https://events.umich.edu/event/130912
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:West Conference Room, 4th Floor
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250214T125544
DTSTART;TZID=America/Detroit:20250228T120000
DTEND;TZID=America/Detroit:20250228T140000
SUMMARY:Workshop / Seminar:EIHS Workshop: Exile as Erasure: Reflections on Marginality
DESCRIPTION:From Ovid to Hannah Arendt\, the experience of exile has been reckoned with on multiple temporal and spatial scales. The phenomenon of exile has been a useful lens through which to interrogate systems of power and authority\, and has helped modern scholars redefine identity. Exile\, however\, does not always mean a physical displacement of a people\; despite being “at home\,” those who live\, think\, and practice on the margins of society can experience isolation in one’s own domain that feels akin to exile. Join us and our graduate student panelists in a discussion of the experience of exilic marginality in native and foreign lands.\n\nPanelists:\nTuğçe Akgül (Graduate Student\, Ancient History\, University of Michigan)\nMelissa Itzkowitz (Graduate Student\, Anthropology\, University of Michigan)\nZhaina Meirkhan (Graduate Student\, History\, University of Michigan)\nTalitha Pam (Graduate Student\, Anthropology and History\, University of Michigan)\nAnna Bonnell Freidin (Assistant Professor\, History\, University of Michigan)\n\nThis event presented by the Eisenberg Institute for Historical Studies. It is made possible in part by a generous contribution from Kenneth and Frances Aftel Eisenberg.
UID:122463-21849231@events.umich.edu
URL:https://events.umich.edu/event/122463
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Humanities,Interdisciplinary,History
LOCATION:Tisch Hall - 1014
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250225T102934
DTSTART;TZID=America/Detroit:20250228T120000
DTEND;TZID=America/Detroit:20250228T130000
SUMMARY:Workshop / Seminar:FSML Seminar 09: From Turbulent Flows to Video Games: Managing Large-Scale Data with Tensor Decomposition
DESCRIPTION:In person: February 28th\, 2025\, 12pm - 1pm (Refreshments will be served!)\nTo join via Zoom\, please use the following link: https://umich.zoom.us/j/97823527756?pwd=H01BbvtuG5q02Wzb8LJvhUnvijlAIe.1\n\nAbstract:\nThe rapid advancement of large-scale parallel computing created a surge of interest in developing high-fidelity digital twins for complex systems. However\, the computational demands for training these models are immense\, requiring vast amounts of data. As the spatial and temporal resolution of simulations increases\, even data storage becomes a critical bottleneck. This talk presents how low-rank tensor decomposition methods can be used to exploit the structure in large-scale data. We showcase a diverse array of applications\, from 3D turbulent Navier-Stokes simulations to Minecraft gameplay videos\, demonstrating the versatility and power of these techniques.\n\nBio: Doruk Aksoy is a 5th year PhD candidate in Aerospace Engineering and Scientific computing at the University of Michigan\, working under the supervision of Prof. Alex Gorodetsky. Prior to joining UM\, he studied Mechanical Engineering at Bogazici University in Istanbul Turkey. During his PhD\, he worked on developing incremental tensor decomposition algorithms to accelerate scientific machine learning through data reduction.
UID:133127-21872419@events.umich.edu
URL:https://events.umich.edu/event/133127
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Scientific Computing,Research,Phd Seminar,North Campus,Computational Science,big data
LOCATION:GG Brown Laboratory - 2636
CONTACT:
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