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📢 Very happy to announce the 2023 #ELLIS workshop on #ML for molecules! It will explore many cool topics, e.g. large language models, explainable AI, generative deep learning, automation & more 🚀 👉moleculediscovery.github.io/workshop2023 w/ Philippe Schwaller (he/him), Michele Ceriotti & Andrea Volkamer 💪🏻

Really looking forward to this year's edition of the ELLIS workshop on ML for molecules!

Done with your #AI4Chem NeurIPS workshop submission? Consider also submitting your work to the virtual ML4Molecules workshops, and present it as a contributed talk and/or poster (GatherTown) on December 8th. Details are in the thread below. #compchem

Consider submitting your recent ongoing work to the ML4Molecules workshop (4page paper sufficient): Deadline is October 8!!! moleculediscovery.github.io/workshop2023/

Exciting news! Fernanda Duarte and I will be jointly chairing an Royal Society of Chemistry Faraday Discussions meeting on "data-driven discovery" in chemistry. We aim to bring together the molecular & materials communities to discuss databases, AI/ML, and more. See rsc.li/3QdkKDz (+ thread) (1/3)

Exciting Faraday Discussions conference next September in Oxford, chaired by Fernanda (Fernanda Duarte) and Volker (Volker Deringer)!

Delighted to join Volker Deringer, Graeme Day, Janine George, Philippe Schwaller (he/him) & Nadine for the Royal Society of Chemistry Faraday Discussions meeting on data-driven discovery in molecules/materials 📝Abstract Deadline 22/01/24 📆Conference 10-12/09/24, Oxford Stellar lineup of speakers! rsc.li/3QdkKDz

Join us on Jan 18th for the 6th edition of the International Mini-Symposium on Molecular Machine Learning with a fantastic line-up of speakers🥳 Francesca Grisoni Jens Meiler Lab Schoenebeck Group @FredManby 💻Registration open: uni-muenster.de/Chemie.oc/glor… #Molecluar #MachineLearning #community

### MACHINE LEARNING FOR MOLECULES ### This Friday (Dec 8), at 9am in European Central Time zone!! Free to join for everyone! Program available here: moleculediscovery.github.io/workshop2023/

LAST REMINDER Tomorrow (Dec 8), 9am CET, this year's ELLIS Machine Learning for Molecules Workshop starts! Open for everyone to join for free! Schedule and registration: moleculediscovery.github.io/workshop2023/

new: "SIMPD: an algorithm for generating simulated time splits for validating machine learning approaches" jcheminf.biomedcentral.com/articles/10.11… @dr_greg_landrum

A reminder of the fast-approaching deadline for oral abstracts. Data-driven discoveries in the chemical sciences. This is an excellent topic for the format of a Faraday Discussions. It will be a very, very good meeting! invt.io/1txbd5sfttk

One week until our 6th online symposium will take place📅🔜💻 Do not miss out and register for free: tinyurl.com/onlinemml24 ✅ 🙏Retweet #community #MachineLearning

Unique opportunity to be part of the first Faraday Discussions meeting on data driven discovery in chemistry. Don’t miss the oral abstract submission deadline on Jan 22nd.

Better Chemistry through Machine Learning! Join symposium tomorrow: free registration - link: wwu.zoom.us/meeting/regist… 🙏RT Speaker: Francesca Grisoni Schoenebeck Group @FredManby Jens Meiler Lab 😀 SPP 2363

Leopoldina Symposium on Molecular Machine Learning: 4 to 6 March in Halle/Saale (National Academy). Amazing line-up👍, free registration!😀 Nationale Akademie der Wissenschaften Leopoldina SPP 2363 DFG public | @[email protected]

⏲️Time is running out! Submit your poster abstract for our upcoming Faraday Discussion on Data-Driven Discovery by July 1st. This is a fantastic opportunity to present your work and contribute to this discussion. #compchem For details rsc.li/3QdkKDz

Poster deadline in just over a week (1 July) for the Faraday Discussion Faraday Discussions on data-driven discoveries in the chemical sciences. Looking forward to seeing your abstracts!

📢 JOB ALERT 📢 My team Molecular Machine Learning is searching for a #postdoc with a background in medicinal chemistry! 👩‍🔬👨‍🔬🧪 Do you have the experience? Are you eager to contribute to #AI for discovering new drugs? 👉Then DM me! Funded by European Research Council (ERC) and located at TU Eindhoven 🚀