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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Undergraduate Quantitative Biology Summer School.
June 1, 2021 - July 9, 2021
Free
The Undergraduate Quantitative Biology (UQ-bio) Summer School is an annual event intended to help undergraduate and first year graduate students acquire essential skills to advance predictive modeling of cellular regulatory systems. Participants will be exposed to a survey of work in quantitative biology and provided with in-depth instruction in selected techniques. The emphasis of the 2021 program will be experimental and computational techniques useful to understand cellular regulatory networks at the single-cell level.
The main focus of the program is to get students working together on small mentored projects. Participants will have access to several pre-recorded technical lecture videos each week (approximately 3 hours per week) and will attend daily live events including: research seminars from top scientists in the field (1-2 hours per week), mentored problem sessions (2 hrs per week), project-specific software tutorial sessions (2 hrs per week), career discussion forums (1 hr per week), student presentation sessions (2 hrs per week), and more. The summer school is designed for undergraduate students and early stage graduate students, or anyone with a quantitative background who is new to modeling cellular regulatory systems/networks.