#AI + automation are transforming discovery, allowing us to create new, more #sustainable materials in a fraction of the time. Save the date for our 2023 Accelerate conference Aug 22-25 to learn more. See link 👇 to be notified when registration opens! https://zr2z766pxls.typeform.com/accelerate23

📆 Join Alex Tkatchenko at #UofT next Tues, Jan 31, 4:30pm in the Sandford Fleming Building's Agora room 3208-3210 (3rd floor) for a talk on Fully #Quantum (Bio)Molecular Simulations: Dream or Reality. No RSVP required, all welcome!

#Postdoc applications due this Fri Jan 27! Apply to be one of 6 #postdoctoral fellows with the Acceleration Consortium for a chance to work with the best and brightest in accelerated molecular and materials #discovery
at #UofT and around the world. http://bit.ly/ac-fellows-2023

New research uses #AlphaFold and #AI to accelerate the design and synthesis of a novel drug to treat liver cancer––marking the first successful application of AlphaFold to hit identification process in drug discovery. This study is led by the #UofT’s Acceleration Consortium director @aspuru, Chemistry Nobel laureate Michael Levitt, and Insilico Medicine founder and CEO Alex Zhavoronkov. https://acceleration.utoronto.ca/news/new-study-uses-alphafold-and-ai-to-accelerate-design-of-novel-drug-for-liver-cancer

"An automated high-throughput robotic platform for accelerated battery and fuels discovery - DIGIBAT" was finally funded by UKRI (bid led by Magda Titirici). Thanks for your support as partner @acceleration_c. The #Chemiverse robots are coming! :meowRobot:

"This is a perfect example of a ‘Before AI’ and an ‘After AI’ moment and shows how drug delivery can be impacted by this multidisciplinary research.”

Published today in Nature Communications, new research by Acceleration Consortium members Dr. Christine Allen and @aspuru demonstrates the potential for #machinelearning to accelerate innovative drug delivery technologies. https://bit.ly/3WZPpXd

🚨 Apply to a be an Acceleration Consortium #postdoctoral fellow for a chance to work alongside the world’s top scientists accelerating molecular and materials #discovery to improve our lives and our #planet. Learn more 👉 http://bit.ly/ac-fellows-2023

Are you passionate about #training the next generation in #AI for science? We're looking for an Associate Director of Training and Programs to join our dynamic team at the Acceleration Consortium at @uoft. Learn more ➡️ http://uoft.me/8Br

Important job opening @uoft on our new program! Check it out!

https://jobs.utoronto.ca/job/Toronto-Schmidt-Futures-Postdoctoral-Program-Manager-ON/565809517/

@acceleration_c

#torontojobs #toronto #jobs #highereducation #artificialintelligence

📣 WE'RE HIRING! Help us train the next generation in the emerging field of #accelerated materials and molecular #discovery. Join our team as the Associate Director of Training and Programs! Learn more and apply now 👉 http://uoft.me/8Br

NEW RESEARCH: A self-driving lab (SDL) at the University of Toronto has discovered organic lasers with state-of-the-art performance⁠—and it only took 2 days! Published in Advanced Materials, this research is led by Acceleration Consortium members Jason Hein, Alán Aspuru-Guzik (@aspuru), Martin Burke and collaborators from around the world. ➡️ bit.ly/ac-org-lasers

Call for proposals! Apply to be one of 6 #postdoctoral fellows with the Acceleration Consortium for a chance to work with the best and brightest in accelerated molecular and materials #discovery at #UofT and around the world.👉http://bit.ly/ac-fellows-2023

📺 Smartphone science, organ-on-a-chip technologies, and bio-printers! Watch the latest #UofT Groundbreakers episode to learn how @CRAFT_mfluidics's researchers are engineering health––including Acceleration Consortium member Milica Radisic's work developing better human tissue models to study disease + discover new medicines https://www.youtube.com/watch?v=RQYOY1K840c

#ICYMI: Scientists (incl. AC members Martin D. Burke, Bartosz Grzybowski +
@aspuru) built an AI-based robot that uncovers general reaction conditions for Suzuki-Miyaura coupling https://t.co/0jtJ6mHgF7

Stop what you are doing and follow @acceleration_c to learn about #ai and #automation for #materials and #molecules #selfdrivinglabs @uoft