Scientist, cheminformatics, data science. Views are my own.
Schweiz
Joined November 2017
- Tweets78
- Following160
- Followers364
- Likes768
Nadine Schneider retweeted
📢 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 🚀
Nadine Schneider retweeted
⏲️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
Join us in Oxford this September for a Faraday Discussion to explore the role of data in the chemical sciences in our unique format – with Alán Aspuru-Guzik, Kim Jelfs, Heather Kulik and Aron Walsh.
Discover our @Faraday_D #FD_Data #DigitalChemistry: rsc.li/data-fd2024
ALT Data-driven discovery in the chemical sciences: Faraday Discussion. 10–12 September 2024, Oxford, UK, and online. Save the date.
Nadine Schneider retweeted
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!
Join us in Oxford this September for a Faraday Discussion to explore the role of data in the chemical sciences in our unique format – with Alán Aspuru-Guzik, Kim Jelfs, Heather Kulik and Aron Walsh.
Discover our @Faraday_D #FD_Data #DigitalChemistry: rsc.li/data-fd2024
ALT Data-driven discovery in the chemical sciences: Faraday Discussion. 10–12 September 2024, Oxford, UK, and online. Save the date.
Nadine Schneider retweeted
Leopoldina Symposium on Molecular Machine Learning:
4 to 6 March in Halle/Saale (National Academy).
Amazing line-up👍, free registration!😀
@Leopoldina @spp2363 @dfg_public
Nadine Schneider retweeted
Better Chemistry through Machine Learning!
Join symposium tomorrow: free registration - link:
wwu.zoom.us/meeting/register…
🙏RT
Speaker: @fra_grisoni @Schoenebeck_Lab @FredManby @MeilerLab 😀 @spp2363
Nadine Schneider retweeted
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! invt.io/1txbd5sfttk
Nadine Schneider retweeted
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_D meeting on data driven discovery in chemistry. Don’t miss the oral abstract submission deadline on Jan 22nd.
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 rsc.li/3QdkKDz. Don't miss out #compchem!
Nadine Schneider retweeted
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: uni-muenster.de/Chemie.oc/gl…
#Molecluar #MachineLearning #community
Nadine Schneider retweeted
new: "SIMPD: an algorithm for generating simulated time splits for validating machine learning approaches" jcheminf.biomedcentral.com/a… @dr_greg_landrum
ALT Fig. 1: Schematic of the process of time-split cross -validation.
Nadine Schneider retweeted
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:
moleculediscovery.github.io/…
Nadine Schneider retweeted
### 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/…
Nadine Schneider retweeted
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! rsc.li/3QdkKDz
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 rsc.li/3QdkKDz (+ thread) (1/3)
ALT A graphics announcing the event, "Data-driven discovery in the chemical sciences", 10-12 September 2024 in Oxford, UK - and indicating the oral abstract deadline of 22 January 2024.
Nadine Schneider retweeted
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 rsc.li/3QdkKDz (+ thread) (1/3)
ALT A graphics announcing the event, "Data-driven discovery in the chemical sciences", 10-12 September 2024 in Oxford, UK - and indicating the oral abstract deadline of 22 January 2024.
Nadine Schneider retweeted
Exciting Faraday Discussions conference next September in Oxford, chaired by Fernanda (@fjduarteg) and Volker (@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 rsc.li/3QdkKDz (+ thread) (1/3)
ALT A graphics announcing the event, "Data-driven discovery in the chemical sciences", 10-12 September 2024 in Oxford, UK - and indicating the oral abstract deadline of 22 January 2024.
Nadine Schneider retweeted
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!
MolSkill, our work on machine-learning chemical intuition is now published on @NatureComms ! We've incorporated quite a lot of suggestions from both reviewers and colleagues. nature.com/articles/s41467-0…
Nadine Schneider retweeted
Consider submitting your recent ongoing work to the ML4Molecules workshop (4page paper sufficient):
Deadline is October 8!!!
moleculediscovery.github.io/…
Nadine Schneider retweeted
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
Check out the fantastic line-up at this year's @ELLISforEurope [ML4Molecules] Workshop!
@wpwalters @NittingerEva @befcorreia @Aromaticist
Raquel Rodríguez-Pérez @andrewwhite01 @vdbergrianne @janhjensen
Submit your workshop paper by 08.10.23 on:
moleculediscovery.github.io/…
Nadine Schneider retweeted
📢 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/…
w/ @pschwllr, @MicheleCeriotti & Andrea Volkamer 💪🏻
Nadine Schneider retweeted
Really looking forward to this year's edition of the ELLIS workshop on ML for molecules!
📢 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/…
w/ @pschwllr, @MicheleCeriotti & Andrea Volkamer 💪🏻