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        "event_title":"Intersex Awareness Day",
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        "description":"Join Spectrum Center for a virtual presentation on Intersex identity and reality based on the work of InterAct. Register Here: https:\/\/bit.ly\/intersex22\r\n\r\n\r\nSpectrum Center Event Accessibility Statement:\r\n\r\nThe Spectrum Center is dedicated to working towards offering equitable access to all of the events we organize. If you have an accessibility need you feel may not be automatically met at this event, there is space to report that in the registration, or you can fill out our Event Accessibility Form, found at http:\/\/bit.ly\/SCaccess. You do not need to have a registered disability with the Office of Services for Students with Disabilities (SSD) or identify as disabled to submit. Advance notice is necessary for some accommodations to be fully implemented, and we will always attempt to dismantle barriers as they are brought up to us. Any questions about accessibility at Spectrum Center events can be directed to spectrumcenter@umich.edu.",
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        "event_title":"ChE SEMINAR: \u201cSoft Microfluidic Analysis Systems for the Skin\u201d",
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        "event_title":"Exploring Careers in Economics",
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        "combined_title":"Exploring Careers in Economics",
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        "event_title":"Emerging Driverless and Automated Transportation: Designing for Inclusion",
        "occurrence_title":"",
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        "event_title":"Portfolio Development Seminar",
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        "description":"Yannis Kevrekidis\r\nBloomberg Distinguished Professor\r\nChemical and Biomolecular Engineering \r\nApplied Mathemetics and Statistics \r\nMedical School\r\nJohns Hopkins University\r\nEmeritus, Princeton Unviersity\r\n\r\nAbout the seminar:\r\nObtaining predictive dynamical equations from data lies at the heart of science and engineering modeling, and is the linchpin of our technology. In mathematical modeling one typically progresses from observations of the world (and some serious thinking!) first to equations for a model, and then to the analysis of the model to make predictions. Good mathematical models give good predictions (and inaccurate ones do not) - but the computational tools for analyzing them are the same: algorithms that are typically based on closed form equations.\r\n \r\nWhile the skeleton of the process remains the same, today we witness the development of mathematical techniques that operate directly on observations -data-, and appear to circumvent the serious thinking that goes into selecting variables and parameters and deriving accurate equations. The process then may appear to the user a little like making predictions by looking in a crystal ball.\r\n \r\nOur work here presents a couple of efforts that illustrate this \"new\u201d path from data to predictions. One will be in discovering emergent spaces, in which initially disorganized data can be modeled \"easier, better, faster.\"\r\nThe second will be in finding transformations across different models of the same phenomenon - deciding when two systems can be thought of as different observations of the same problem. The third (time permitting) will be in automating the generation of optimal algorithms.\r\n\r\nAbout the speaker:\r\nYannis Kevrekidis studied Chemical Engineering at the National Technical University in Athens. He then followed the steps of many alumni of that department to the University of Minnesota, where he studied with Rutherford Aris and Lanny Schmidt (as well as Don Aronson and Dick McGehee in Math). He was a Director's Fellow at the Center for Nonlinear Studies in Los Alamos in 1985-86 (when Soviets still existed and research funds were plentiful). He then had the good fortune of joining the faculty at Princeton, where he taught Chemical Engineering and also Applied and Computational Mathematics for 31 years; four years ago he became Emeritus and started fresh at Johns Hopkins (where he somehow is also Professor of Urology). His work always had to do with nonlinear dynamics (from instabilities and bifurcation algorithms to spatiotemporal patterns to data science in the 90s, nonlinear identification, multiscale modeling, and back to data science\/ML); and he had the additional good fortune to work with several truly talented experimentalists, like G. Ertl's group in Berlin. When young and promising, he was a Packard Fellow, a Presidential Young Investigator and the Ulam Scholar at Los Alamos National Laboratory. He holds the Colburn, CAST and Wilhelm Awards of the AIChE, the Crawford and the Reid Prizes of SIAM, is a member of the NAE, the American Academy of Arts and Sciences, and the Academy of Athens.\r\n\r\nBoeing Lecture Hall (1109 FXB) and Zoom \r\nhttps:\/\/umich.zoom.us\/j\/91746715474",
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        "event_title":"DMC Sinai-Grace Hiring Event 10\/20\/22 3PM-6PM",
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        "description":"Plant yourself at DMC Sinai-Grace Hospital\u2026 and Grow!\nWe are looking for SNA, RN and LPN\u2019s to JOIN our TEAM!\nUp to $25K sign-on bonus available for most RN positions, based on years of relevant experience.\n\nNew grad RN sign-on bonuses, starting at $5K\n\nWhether you are a nursing student SNA, a new graduate RN, or an experienced RN consideringthe next step of your career, the DMC is a place where you can grow throughout your career, in the direction that you choose! Here, you will be mentored by our Nursing leaders and designated career coaches giving you insights on career opportunities in-store for you across our system.\n\nVisit us at: https:\/\/jobs.tenethealth.com\/dmc and APPLY ONLINE.\n\u2022 Interview with our nursing leaders\n\u2022 Tour our world-class facilities\n\u2022 Touchbase with our career coaches\n\u2022 Same-day job offers and more!\n\nThursday, October 20th, 2022 from 3PM-6PM\nDMC Sinai-Grace Hospital\n6071 Outer Dr. W, Detroit, MI 48235\nLocation: Main lobby\nParking: Visitor lot\nNOTE: Enter through Schaefer Drive Main Entrance, park in Visitor Parking, and enter through Main Hospital Entrance\nAbout DMC Sinai-Grace Hospital\nDMC Sinai-Grace is an integral part of the community of Northwest Detroit. As a community hospital, DMC Sinai-Grace is an ongoing part of the lives of the Northwest Detroit citizens and is a positive force in the health of Northwestern Detroiters and the surrounding communities it serves.\nWe show compassion for those entrusted to our care, recognizing that each patient is unique. In honor of their trust, we hold ourselves accountableto excellence in the standard of care we provide. Sinai-Grace nurses workin a variety of units and specialty areas that provide a wide range of experience, serving our Northwest Detroit community.\nFollow us at: https:\/\/www.facebook.com\/DMCSGH\/\n\nWe look forward to see you there!\n",
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