Nadine Schneider

Scientist, cheminformatics, data science. Views are my own.

[Francesca Grisoni @fra_grisoni]

📢 JOB ALERT 📢

My team @molecularML 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 @ERC_Research and located at @TUeindhoven 🚀

[Fernanda Duarte @fjduarteg]

⏲️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 https://t.co/K7RQjkl6Xh

[Graeme Day @graeme_day]

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

[Frank Glorius @GloriusFrank]

Leopoldina Symposium on Molecular Machine Learning:
4 to 6 March in Halle/Saale (National Academy).
Amazing line-up👍, free registration!😀
@Leopoldina @spp2363 @dfg_public

[Frank Glorius @GloriusFrank]

Better Chemistry through Machine Learning!
Join symposium tomorrow: free registration - link:
https://t.co/SpDzPHupBw

🙏RT

Speaker: @fra_grisoni @Schoenebeck_Lab @FredManby @MeilerLab 😀 @spp2363

[Graeme Day @graeme_day]

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_D. It will be a very, very good meeting! https://t.co/yn06gM8rbZ

[SPP 2363 @spp2363]

One week until our 6th online symposium will take place📅🔜💻
Do not miss out and register for free: https://t.co/VJ5DWWwRkM ✅

🙏Retweet
#community #MachineLearning

[Nadine Schneider @foo_fighterin]

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

[Fernanda Duarte @fjduarteg]

Join us in Oxford next summer for the @Faraday_D meeting on data-driven discovery in chemistry. 📅 Oral abstract deadline: 22/01/24. Contribute to this unique discussion where papers are sent in advance and discussed on-site. See https://t.co/K7RQjkl6Xh. Don't miss out #compchem!

[SPP 2363 @spp2363]

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🥳
@fra_grisoni
@MeilerLab
@Schoenebeck_Lab
@FredManby
💻Registration open: https://t.co/GLUXWwPY9x
#Molecluar #MachineLearning #community

[Journal of Cheminformatics @jcheminf]

new: "SIMPD: an algorithm for generating simulated time splits for validating machine learning approaches" https://t.co/ROvwHr1KXB @dr_greg_landrum

[Günter Klambauer @gklambauer]

LAST REMINDER

Tomorrow (Dec 8), 9am CET, this year's @ELLISforEurope Machine Learning for Molecules Workshop starts!

Open for everyone to join for free!

Schedule and registration:
https://t.co/8Lny62Uc5R

[Günter Klambauer @gklambauer]

### MACHINE LEARNING FOR MOLECULES ###

This Friday (Dec 8), at 9am in European Central Time zone!!

Free to join for everyone!

Program available here:
https://t.co/8Lny62Uc5R

[Fernanda Duarte @fjduarteg]

Delighted to join @vl_deringer, @graeme_day, @MolecularXtal, @pschwllr & Nadine for the @RoySocChem @Faraday_D meeting on data-driven discovery in molecules/materials
📝Abstract Deadline 22/01/24
📆Conference 10-12/09/24, Oxford
Stellar lineup of speakers! https://t.co/K7RQjkl6Xh

[Volker Deringer @vl_deringer]

Exciting news! @fjduarteg and I will be jointly chairing an @RoySocChem @Faraday_D meeting on "data-driven discovery" in chemistry. We aim to bring together the molecular & materials communities to discuss databases, AI/ML, and more. See https://t.co/GSRGTRj4w8 (+ thread) (1/3)

[Philippe Schwaller (he/him) @pschwllr]

Exciting Faraday Discussions conference next September in Oxford, chaired by Fernanda (@fjduarteg) and Volker (@vl_deringer)!

[Oh-hyeon Choung @ohhyeon5]

Exciting news! 📚Now it’s on @NatureComms! Great thanks and congratulations to my amazing colleagues @josejimlun @marwinsegler @rvianello and Nik Stiefl. Also, thanks the collaboration between @Novartis Biomedial Research and @MSFTResearch AI4Science that made this work possible!

[Günter Klambauer @gklambauer]

Consider submitting your recent ongoing work to the ML4Molecules workshop (4page paper sufficient):

Deadline is October 8!!!

https://t.co/8Lny62Uc5R

[Philippe Schwaller (he/him) @pschwllr]

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

[Francesca Grisoni @fra_grisoni]

📢 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 🚀

👉https://t.co/EiMKDUjLL6

w/ @pschwllr, @MicheleCeriotti & Andrea Volkamer 💪🏻

[Jose Miguel Hernández-Lobato @jmhernandez233]

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