BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260403T234330Z
UID:Pm56qw
DTSTART;VALUE=DATE:20190530
DTEND;VALUE=DATE:20190531
CLASS:PUBLIC
CREATED:20190329T105833
DESCRIPTION: This will be an afternoon workshop\, which will bring together
  statisticians\, machine learners and physicists to introduce academics an
 d PhD students to the range of research challenges that sit at the interfa
 ce of these research fields.\nThe event will be held in A54 Postgraduate S
 tatistics Centre\, Lancaster University. The event is free to attend\, but
  attendees must register for a ticket in advance.  \n\n | Schedule |  |  |
 \n|---------------|-----------------------------------|-------------------
 --------------------------------------------------------------|\n| 13:00 -
  13:15 | Opening and introductions |  |\n| 13:15 - 14:00 | David van Dyk |
  Data-Driven and Science-Driven Bayesian Methods in Astronomy and Solar Ph
 ysics. |\n| 14:00 - 14:45 | Chris Arridge | Research Challenges in Solar S
 ystem Plasmas. |\n| 14:45 - 15:15 | Coffee break |  |\n| 15:15 - 16:00 | F
 lorent Leclercq | Bayesian inference with black-box cosmological models. |
 \n| 16:00 - 16:45 | Ingo Waldmann | Deep learning exoplanets and the solar
  system. |\n| 16:45 - 18:00 | Wine reception and poster session |  | \n\n 
 Abstracts are now available to view. \n\n This event is jointly organised 
 by the Royal Statistical Society Statistical Computing Section\, and the R
 oyal Statistical Society Lancashire and Cumbria local group. \n\n Photo by
  Jeremy Thomas on Unsplash. \n
LAST-MODIFIED:20200425T125446
LOCATION:Lancaster University
ORGANIZER:mailto:rhian@jumpingrivers.com
SUMMARY:Machine Learning in Astronomy
URL;VALUE=URI:https://ti.to/royal-statistical-society-lancashire-and-cumbri
 a/machine-learning-in-astronomy
URL;VALUE=URI:https://ti.to/royal-statistical-society-lancashire-and-cumbri
 a/machine-learning-in-astronomy
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END:VCALENDAR