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        "event_title":"Study | Intern Abroad with CGIS: Info Sessions",
        "occurrence_title":"CGIS First Steps: November 6th (on Zoom)",
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        "event_subtitle":"First Steps presentations",
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        "description":"Interested in studying or interning abroad, but not sure where to start? Attend a CGIS First Step Info Session for an overview of our programs around the world, the CGIS application process, scholarships and other financial aid resources, and more!",
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        "tags":["Scholarships","Undergraduate","Transfer Students","Study Abroad","Sessions","Scholarship","Research","Internship","International","All Majors Welcome","Abroad"],
        "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/18380",
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        "event_title":"T.REX",
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        "combined_title":"T.REX",
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        "event_type":"Film Screening",
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        "description":"With stunning CGI visuals and the latest research from leading paleontologists, the film offers audiences a fresh perspective on the GOAT (Greatest Of All Tyrants): Tyrannosaurus rex. Anchored by the true story of the young fossil hunters who made the discovery of a lifetime when they spotted a large fossilized leg bone on a walk on public lands in North Dakota, T. REX intercuts the remarkable fossil dig, with cutting edge computer graphics that bring the iconic T. rex to life\u2014from hatchling to hulking adult. Narrated by Jurassic Park actor Sam Neill, T. REX explores the newest science that has helped reinvent our understanding of the iconic predator.",
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        "cost":"Tickets are $9 and are available in the museum store on the day of the show.",
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        "datetime_modified":"20261105T123211",
        "datetime_start":"20261106T140000",
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        "time_start":"14:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Veteran Resume Review",
        "occurrence_title":"",
        "combined_title":"Veteran Resume Review",
        "event_subtitle":"",
        "event_type":"Careers \/ Jobs",
        "event_type_id":"2",
        "description":"Transitioning your military experience into compelling civilian resume language isn't always straightforward. Join us for an interactive, high-impact resume review session designed specifically for student veterans and service members.Whether you are building your first post-military resume, translating complex military occupational specialties(MOS\/AFSC\/Ratings), or tailoring your credentials for upcoming internships and full-time roles, this session offers targeted support to help you stand out to employers.What to Expect1-on-1 Coaching: Get personalized, expert feedback on your resume structure, bullet points, and civilian leadership translation.Small Group Collaboration: Connect with fellow student veterans to share industry insights, compare strategies, and review peer feedback in a supportive environment.Actionable Formatting &amp; Keywords: Learn how to optimize your resume for Applicant Tracking Systems (ATS) while highlighting your core military accomplishments.What to BringA printed copy or digital draft of your current resume (or military Joint Services Transcript\/VMET if starting from scratch).Target job descriptions or industries you are interested in pursuing.A laptop or tablet for real-time edits.This event's information is shown in Handshake as well as on the Happening @ Michigan calendar so that it will be seen by a larger number of U-M Students. You can only register to attend this event within Handshake. If you'd like to indicate that you'll be attending this event and see more details, please go to this webpage: https:\/\/umich.joinhandshake.com\/events\/2044042\/share_preview\u00a0We want to ensure full and equitable participation in our events.If an accessibility accommodation would promote your full participation in this event, please indicate your accommodation requirements via the link below, preferably at least 14 days prior to the program to ensure sufficient time for arranging your requested accommodation(s) or exploring suitable alternatives. If you have any questions regarding access to our programs, please don't hesitate to reach out to Jocelyn Gaydos at jmgaydos@umich.edu. Accessibility accommodation form: https:\/\/forms.gle\/FmFn35ZLxJ8kvPfSA\u00a0#UCC",
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        "location_name":"University Career Center, 3200 Student Activities Building, University Career Center office, 515 E Jefferson St, Ann Arbor, MI, United States",
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    {
        "datetime_modified":"20261006T141422",
        "datetime_start":"20261106T150000",
        "datetime_end":"20261106T160000",
        "has_end_time":1,
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        "time_zone":"America\/Detroit",
        "event_title":"2027-2028 English Department Academic Year Internships",
        "occurrence_title":"",
        "combined_title":"2027-2028 English Department Academic Year Internships: Informational Session",
        "event_subtitle":"Informational Session",
        "event_type":"Other",
        "event_type_id":"22",
        "description":"2027-2028 English Department Academic Year Internships Informational Session for PhD students in years 4th, 6th and 7th.",
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                "guid":"153366-21915719@events.umich.edu",
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        "datetime_start":"20261106T150000",
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        "event_title":"AIM Seminar:  The Geometry of Diffusion Generation: A Log-Density Ridge Perspective",
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        "description":"Abstract:  Diffusion models generate data by gradually transforming noise into structured samples. When these samples differ from the training examples, what determines their geometric organization? In this talk, I will present a framework based on log-density ridges of the smoothed empirical distribution. These evolving structures provide a geometric reference for analyzing generation relative to a finite training set. I will describe a reach\u2013align\u2013slide mechanism in reverse diffusion: samples enter a ridge neighborhood, approach the ridge in normal directions, and move along it relative to nearby training data. Our analysis relates alignment and local tangential motion to directional components of the learned denoising error, connecting training error to generation geometry. This perspective helps explain how generated samples can organize around structures induced by the data while differing from individual training examples. Synthetic examples and MNIST latent-space experiments illustrate the predicted behavior. The talk will introduce the necessary background on diffusion models and log-density ridges.\n\nThis talk is based on joint work with Yitong Qiu and Molei Tao, recently accepted at NeurIPS 2026.\n\nContact:  Zhiyan Ding",
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