Calendar of gene regulation events online
The calendar below lists webinars and meetings relevant to gene regulation. All times below are in GMT (London, UK). The link to export these events to Outlook or Google Calendar is at the bottom of this page. The calendar below includes all virtual events related to gene regulation, not limited to those organised by Fragile Nucleosome. To add your own virtual event that is not yet in our list, please email [email protected]. For a list of conferences and schools in the area of gene regulation, see the separate page “conferences, meetings and schools”. Also, have a look at complementary lists of webinars at The Node (developmental biology and related subjects), Physics of Life (biophysics) and mathseminars.org (mathematics & physics).
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Physics of Life Online Summer School 2020
June 29, 2020 @ 6:00 pm - 7:00 pm BSTFree
The Physics of Life Summer School
The school is geared towards undergraduate physics majors and will create a bridge between the kinds of physics you have seen in class and applications in living systems. Any undergraduate from any institution can participate. The summer school will meet every Monday from June 15 – August 3, 2020. Lectures will take place from noon-1pm EDT and include ~30 minutes of introductory material and 30 minutes of current research from the lecturer’s group. In addition, from 10am-11am EDT there will be a discussion of several relevant papers led by PhD students and fellows from the center. If you plan to attend the discussion section, you should read the papers ahead of time. All papers can be found here.
|June 15||Joshua Shaevitz||Bacterial motility and pattern formation|
|June 22||Andre Kosmrlj||Multicellular structure formation in 3D|
|June 29||Sujit Datta||Cellular motility in complex environments|
|July 6||Ned Wingreen||Intracellular phase separation|
|July 13||William Bialek||Statistical mechanics approaches to biological physics|
|July 20||Mala Murthy||Brains and behavior in simple organisms|
|July 27||Vijay Balasubramanian||How the brain interprets complex signals|
|August 3||David Schwab||Statistical Mechanics of Machine Learning|