Molecular Cage Reveals Near-Atomic Level Details of Cancer Proteins
https://scitechdaily.com/molecular-cage-reveals-near-atomic-level-details-of-cancer-proteins/

Electron Motion Tracked in a Quantum State of Matter Using X-Ray Pulses Less Than a Millionth of a Billionth of a Second Long
https://scitechdaily.com/electron-motion-tracked-in-a-quantum-state-of-matter-using-x-ray-pulses-less-than-a-millionth-of-a-billionth-of-a-second-long/

Mechanism 'splits' electron spins in magnetic material
https://phys.org/news/2022-05-mechanism-electron-magnetic-material.html

PhD and Postdoc positions available at the Max Planck Institute
[1] Simulations of organic semiconductors:
https://www.mpip-mainz.mpg.de/759544/2022_05_Andrienko_MERCK

[2] Simulations of perovskite solar cells:
https://www.mpip-mainz.mpg.de/759523/2022_05_Andrienko_KAUST

Live Webinar: COVID Moonshot - Collaborative Antiviral Discovery

COVID Moonshot - A Collaborative Approach to Antiviral Discovery
Thursday, June 9 at 9:00 am PT, 12:00 pm ET and 17:00 BST

In the early days of the COVID-19 pandemic, a group of scientists hailing from academic and industrial organizations around the world came together with the ambitious goal of discovering an antiviral against the virus. Two years later, the COVID Moonshot consortium has identified multiple compounds to be entered into preclinical trial.

Join this webinar to hear behind-the-scene stories of COVID Moonshot and learn how this non-profit, open-science project was able to achieve significant results with limited resources.

Speakers: Monalisa Chatterji, PhD (Sekkei Bio Pvt. Ltd.), Ed Griffen, PhD
(MedChemica Ltd.) and Annette von Delft, MD, PhD (University of Oxford)

https://info.collaborativedrug.com/2022-q2-scientific-webinar

“Visualizing the Proton” – Physicists’ Innovative Animation Depicts the Subatomic World in a New Way
https://scitechdaily.com/visualizing-the-proton-physicists-innovative-animation-depicts-the-subatomic-world-in-a-new-way/

Crystal study may resolve DNA mystery
https://phys.org/news/2022-05-crystal-dna-mystery.html

Energy researchers invent chameleon metal that acts like many others
https://phys.org/news/2022-05-energy-chameleon-metal.html

As much pressure as Uranus' core: The first materials synthesis research and study in the terapascal range
https://phys.org/news/2022-05-pressure-uranus-core-materials-synthesis.html

Psi4 is an open-source first-class computational chemistry package that is built with Python bindings. The great part is that it can even work from the Jupyter Notebook. Here is a way for you to run Psi4 using the free Google Colab (yes, that gives you a lot of computational power for free!):

https://colab.research.google.com/drive/1Z5DWnToMWiKIM9k8fi3ux-GtrWYlQ5nw?usp=sharing

It is time to update your Periodic Table! ⏰
#IUPAC has just released a new Periodic Table https://iupac.org/what-we-do/periodic-table-of-elements/ with the revised standard atomic weights and/or the uncertainties of fourteen elements. https://degruyter.com/document/doi/10.1515/pac-2019-0603/pdf

Join my lab in Vienna!

We have one vacant PhD position starting June or later.
If you bring in a background in Biochemistry/Biotechnology, please apply via email.

Funding available for 4 y.
Deadline 31.05.2022

Please check: https://mdt.univie.ac.at

QuantumVITAS (Quantum Visualization Interacting Toolkit for Ab-initio Simulations) is a software aiming at bringing user friendly graphical user interface to quantum chemistry software. In the current stage Quantum ESPRESSO is the calculation engine.
https://www.quantumvitas.org/

(Thanks to D K Raman for the suggestion)

Scientists Just Measured a Mechanical Quantum System Without Destroying It
https://www.sciencealert.com/scientists-just-measured-a-mechanical-quantum-system-without-destroying-it

Assistant Professor/Postdoctoral Researcher in the area of data-driven material discovery

Institutes of Innovation for Future Society, Nagoya University (located in Nagoya City in Japan) is seeking a specially appointed assistant professor or postdoctoral researcher in the area of data-driven materials discovery. We are looking for a researcher who can enthusiastically promote research on machine learning and materials design algorithms based on computational data, and the search for specific functional materials in collaboration with experimental researchers. The position is open immediately, but the starting date is negotiable. The position is full-time and single-year contract with the possibility for additional years of support provided adequate progress on the project. The position will remain open until filled.

Desired qualifications: (1) PhD in Materials Science, Chemistry, Physics, Chemical Engineering, Informatics or closely related fields. (2) Prior experience with machine learning, materials informatics. (3) (option) Experience with ab-initio calculations. (4) Excellent oral and written communication skills that will facilitate interdisciplinary collaborations with multiple teams.

To apply: Please send your CV and a brief denoscription of your research interests to Dr. Ryoji Asahi (ryoji.asahi@chem.material.nagoya-u.ac.jp).