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BEGIN:VEVENT
DTSTAMP:20240913T123223
DTSTART;TZID=America/Detroit:20240829T150000
DTEND;TZID=America/Detroit:20240829T163000
SUMMARY:Careers / Jobs:Information Session for Potential Applicants for the PMF Class of 2025
DESCRIPTION:Are you an advanced degree student or recent alum who is interested in working in government\, but unsure where to start? If so\, we invite you to come learn about the Presidential Management Fellows(PMF) Program and our annual application on Thursday\, August 29\, from 3-4:30pm ET. The PMF Program is the Federal Government’spremier leadership development program for advanced degree holders (e.g.\, Masters\, PhD\, JD\, etc.) across all academic disciplines and from all segments of society. This is a two-year fellowship at a Federal agency (e.g.\, HHS\, USDA\, HUD\, NASA\, State Department\, etc.) withfull salary and benefits\, leadership and technical training\, and more\,which can lead to a permanent career in government. We are looking for driven students to apply and use their background/skills to make a positive impact through public service on behalf of the American people.The info session will give an overview of the PMF Program and our upcoming application. If time permits\, we will take your questions at the end of the session. For more information on the PMF Program\, visit www.pmf.gov or watch our introductory video here.This is one of two information sessions. The other is on Monday\, August 5\, at 3PM ET.  Information webinars are not recorded.We look forward to seeing you there!
UID:123856-21851958@events.umich.edu
URL:https://events.umich.edu/event/123856
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20240826T160301
DTSTART;TZID=America/Detroit:20240829T150000
DTEND;TZID=America/Detroit:20240829T170000
SUMMARY:Presentation:Using SMC OB Field Stars & Field Binaries to Study the Origin and Evolution of Massive Star Populations
DESCRIPTION:Using Observations of Field Massive Stars in the Small Magellanic Cloud and Binary Population Synthesis Modeling to Study the Properties and Evolutionary Consequences of Binaries
UID:124716-21853648@events.umich.edu
URL:https://events.umich.edu/event/124716
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:astronomy,Dissertation
LOCATION:West Hall - 411
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20240901T132730
DTSTART;TZID=America/Detroit:20240829T153000
DTEND;TZID=America/Detroit:20240829T163000
SUMMARY:Workshop / Seminar:Biomedical Engineering Seminar Series
DESCRIPTION:Abstract:\nNeural interfaces can restore or augment sensorimotor capabilities by converting high-bandwidth biological signals into control signals for an external device via a decoder algorithm. Users adapt their behavior in these interfaces via sensorimotor learning and decoder algorithms can adapt via machine learning. Leveraging user and decoder adaptation presents opportunities to improve usability and personalize devices. But we have limited understanding of how user and decoder learning interact. We also lack principled methods to model and optimize these complex two-learner dynamics. In this talk\, I'll first present work suggesting that adaptive decoder algorithms influence brain learning in a motor brain-computer interface. I'll then present new computational methods based on control theory and game theory that allow us to analyze and generate predictions for user-decoder interactions\, and experimental validation of these predictions in human myoelectric interface experiments.\n\nBio:\nDr. Orsborn is a Clare Boothe Luce Assistant Professor in the departments of Electrical & Computer Engineering and Bioengineering at the University of Washington. Her research explores sensorimotor plasticity in brain-computer interfaces and how plasticity is influenced by the algorithms used. She completed her Ph.D. at the UC Berkeley/UCSF Joint Graduate Program in Bioengineering and her postdoctoral training at NYU’s Center for Neural Science. Her work has been supported by a range of federal (NSF\, NIH) and private (Simons Foundation) agencies\, along with industry (Google\, Meta).\n\nZoom:\nhttps://umich.zoom.us/j/94337625486
UID:125495-21855195@events.umich.edu
URL:https://events.umich.edu/event/125495
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:seminar,Research,Michigan Engineering,Medicine,engineering,engineer,bme,Biotechnology,Biosciences,Bioninterfaces,biomedical engineering,biomedical,Biology,Biointerfaces
LOCATION:Lurie Biomedical Engineering (formerly ATL) - 1130
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20240816T091910
DTSTART;TZID=America/Detroit:20240829T153000
DTEND;TZID=America/Detroit:20240829T163000
SUMMARY:Workshop / Seminar:Biomedical Engineering Seminar Series
DESCRIPTION:Abstract:\nNeural interfaces can restore or augment sensorimotor capabilities by converting high-bandwidth biological signals into control signals for an external device via a decoder algorithm. Users adapt their behavior in these interfaces via sensorimotor learning and decoder algorithms can adapt via machine learning. Leveraging user and decoder adaptation presents opportunities to improve usability and personalize devices. But we have limited understanding of how user and decoder learning interact. We also lack principled methods to model and optimize these complex two-learner dynamics. In this talk\, I'll first present work suggesting that adaptive decoder algorithms influence brain learning in a motor brain-computer interface. I'll then present new computational methods based on control theory and game theory that allow us to analyze and generate predictions for user-decoder interactions\, and experimental validation of these predictions in human myoelectric interface experiments.\n\nBio:\nDr. Orsborn is a Clare Boothe Luce Assistant Professor in the departments of Electrical & Computer Engineering and Bioengineering at the University of Washington. Her research explores sensorimotor plasticity in brain-computer interfaces and how plasticity is influenced by the algorithms used. She completed her Ph.D. at the UC Berkeley/UCSF Joint Graduate Program in Bioengineering and her postdoctoral training at NYU’s Center for Neural Science. Her work has been supported by a range of federal (NSF\, NIH) and private (Simons Foundation) agencies\, along with industry (Google\, Meta).\n\nZoom:\nhttps://umich.zoom.us/j/94337625486
UID:124343-21852919@events.umich.edu
URL:https://events.umich.edu/event/124343
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Michigan Engineering,Medicine,engineering,engineer,bme,Biotechnology,Biosciences,Bioninterfaces,biomedical engineering,biomedical,Biology,Biointerfaces,Basic Science
LOCATION:Lurie Biomedical Engineering (formerly ATL) - 1130
CONTACT:
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