Registrations are now open for the Chemical and materials machine learning school 2025!
🎟️ Register and details here: www.psdi.ac.uk/event/cammls...
🚨 Last date to register: 1st December 2024
#cammls #psdi #machinelearning #training #mltraining

From TWFKNAT and my colleague Keith Butler:

🐫 Just over two weeks left to apply for the UK Chemical and Materials Machine Learning School 2025. ML, MLIPs, GNNs, GenAI - so many cool acronyms explained!!

🔗 aichemy.ac.uk/ml-training-... 🐫 www.psdi.ac.uk/event/cammls...

#compchem #chemsky

The aim of this training is to introduce attendees to the latest methods of machine learning for the atomistic simulation of materials. There will also be the opportunity for attendees to present a poster on their work. Get all the details here ▶️ www.psdi.ac.uk/event/cammls...
#psdi #cammls #ml

Last few days left to register for #CAMMLS2025 training course. For all the details and registration link, click here: www.psdi.ac.uk/event/cammls...
#cammls2025 #psdi

🎓 CAMMLS - Applications now open!

Join the CAMMLS Training School: Chemical and Materials Machine Learning School 2026 🤖⚗️

🗓️ Deadline: 26th November
📍 Daresbury

Apply now!
🔗 buff.ly/h63c0U1

🎓 CAMMLS - Applications now open!

Join the CAMMLS Training School: Chemical and Materials Machine Learning School 2026 - an exciting opportunity to dive into AI, data, and machine learning for chemistry and materials science.🤖⚗️

🗓️ Deadline: 26th November
📍 Daresbury

Apply now!
🔗 buff.ly/h63c0U1

⏰ LESS THAN A WEEK LEFT!

🎓 CAMMLS applications closing soon!
Join the Chemical and Materials Machine Learning School 2026 🤖⚗️
📅: 13th -17th April
📍 STFC Daresbury Lab

🗓️ Deadline: 26th November

Don't miss this opportunity - APPLY NOW!
🔗 buff.ly/h63c0U1

#CAMMLS #MachineLearning #MaterialsScience

🚀 We’re underway!

The CAMMLS: Chemical & Materials Machine Learning School 2026 kicked off yesterday, and we’re here all week exploring the cutting edge of AI, chemistry, and materials science. 🤖⚗️

👀 Stay tuned for the highlights

🔗 buff.ly/eomWgi6

Congratulations to the winners of the CaMML Poster Presentation!

🥇 Simone Vari, Politecnico di Milano, Italy
🥇 Sophie Bennett, University of Southampton, UK
🥇 Gustavo Chaparro – Imperial College London, UK

📸 Picture Credit: AIchemy

#PSDI #CAMMLS #MachineLearning #AI

The CaMMLs is a five-day intensive training course designed for PhD students working in the field of materials and molecular simulations who have coding experience but are not yet highly experienced with machine learning.

📅 Dates: 13–17 April 2026
👉 Apply here: spring2026.camml.ac.uk

What an incredible week at CaMMLS School! 🙌

A huge thank you to all our speakers, lecturers, and delegates for making it such a success once again.

Your energy, insight, and collaboration made it another truly brilliant experience.

Already looking forward to next year! ✨