Registration is now open for the 3DMM2O Conference 2026!🚀 Join us at the Schöntal Monastery in March to explore the latest innovations in 3D additive manufacturing. Register here 👉 future3dam.org/registration... #3DMM2O #AdditiveManufacturing #3DPrinting @kit.edu @uniheidelberg.bsky.social

#chemsky #compchem #machinelearning #PhDposition #MaterialScience #Heidelberg

#chemsky #compchem #machinelearning #PhDposition #MaterialScience #Heidelberg

Interested in working at the interface of computational chemistry, machine learning and material science? Feel free to get in touch with us: [email protected]

Interested in working at the interface of computational chemistry, machine learning and material science? Feel free to get in touch with us: [email protected]

Had the chance to visit #IIITHyderabad and present some of our research activities @uniheidelberg.bsky.social Thanks to Deva Priyakumar and the whole group for hosting me! Great exchange and scientific discussion!

Thanks @kenitami.bsky.social group and former colleagues @uni-muenster.de for this great collaboration. Just out in @naturecomms.bsky.social @uniheidelberg.bsky.social

Thanks Guillaume!

… and of course thanks a lot to the news teams @uniheidelberg.bsky.social and the IWR!

Using COFs to recycle e-waste @naturecomms.bsky.social www.nature.com/articles/s41... Thanks for the collaboration @cornelluniversity.bsky.social

A bit delayed post (as usual ☺️) but some updates in the newsroom @uniheidelberg.bsky.social www.uni-heidelberg.de/en/newsroom/...

#chemsky #compchem #machinelearning #PhDposition #MaterialScience #Heidelberg

* Computational Surface Chemistry/Physics * Investigation of structural and dynamic properties of molecular switches and machines * Atomistic investigations of porous materials (e.g. MOF, COFs, cages)

Topics include * Multiscale simulations of stimuli-responsive functional materials * Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena

#chemsky #compchem #machinelearning #PhDposition #MaterialScience #Heidelberg

* Computational Surface Chemistry/Physics * Investigation of structural and dynamic properties of molecular switches and machines * Atomistic investigations of porous materials (e.g. MOF, COFs, cages)

Topics include * Multiscale simulations of stimuli-responsive functional materials * Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena

Supported by the Heisenberg program of the DFG (@dfgpublic.bsky.social), we recently moved to Heidelberg! Developing and applying computational tools to perform multiscale investigations at the interface of chemistry, physics and material science. To join our team, apply via [email protected]

Supported by the Heisenberg program of the DFG (@dfgpublic.bsky.social), we recently moved to Heidelberg! Developing and applying computational tools to perform multiscale investigations at the interface of chemistry, physics and material science. To join our team, apply via [email protected]