The Electronic Structure Theory Department at the Max Planck Institute for Solid State Research (Stuttgart, Germany) is looking for PhD students!
Apply here: https://www.mpg.de/19078914/phd-position-electronic-structure-theory

If you use ChemDraw - LEARN KEY COMMANDS! Save yourself hours of frustration and wasted time!
—
From https://twitter.com/That__Chemist

Postdoctoral position in Density Functional Theory/Quantum Chemistry

We are seeking a highly motivated, skilled and independent postdoctoral research fellow with a strong background in density functional theory and quantum chemistry to join the Institute for Functional Intelligent Materials of the National University of Singapore with Professors Giovanni Vignale (https://ifim.nus.edu.sg/people/giovanni-vignale/) and Antonio Castro Neto on the development of new functionals for electronic density functional theory and quantum continuum mechanics. The work will involve a combination of analytical methods, numerical methods, and machine learning techniques.

Qualifications

PhD in Physics, Chemistry, or related discipline
A strong background in density functional theory, many-body theory and quantum chemistry
Experience with numerical implementation of density functional and quantum chemical calculations
Application instructions

Interested individuals should submit CV, a cover letter shortly describing their experience, and three letters of recommendation.

Apply online at this URL: https://careers.nus.edu.sg/job-invite/16821/

Deadline for best consideration is September 9, 2022

The Academic Genealogy of Chemistry Researchers
The Academic Genealogy of Chemistry Researchers is a free, volunteer-run website designed to help you track your academic genealogy. Our goal is to collect information about the graduate student and postdoctoral relationships between most researchers in the field. This tree exists as a part of the larger Academic Family Tree, which seeks to build a genealogy across multiple academic fields.

https://academictree.org/chemistry/index.php

#workshop #essential #academic #skills #writing #dissertation

VIRTUAL WORKSHOP
Article Writing Using LaTEX Online Editor

- The NyBerMan team,
🧑‍🏫Dr. Divyashree Nageshwaran (University of Cambridge, UK)
👨‍🏫Dr. Sneha Singh
(Hamburg, Germany),

will conduct a two-day workshop on basic-to-advanced article, dissertation, writing & publishing.

- This workshop will provided concepts and hands-on training on classical tools, plugins, and explicit training in famous online editor LaTex , i.e., https://www.overleaf.com/

👩‍🎓Who can apply?
Anyone aspiring to learn writing concepts and get experience in article writing using LaTeX

✍️Number Of Seats?
- 30 Paid Seats
- 10 Post Workshop Assessment Free-Merit seats

🗓Important Dates:
- The workshop will be held on 3rd-4th September 2022

🌐For more info & Register
https://www.llbschool.org/latex-workshop

📢«««««««
Channel @llbschool

Electron slow motion: Ion physics on the femtosecond scale
https://phys.org/news/2022-08-electron-motion-ion-physics-femtosecond.html

Best-selling chemistry textbook is now free | News | Chemistry World
https://www.chemistryworld.com/news/best-selling-chemistry-textbook-is-now-free/4016120.article

Our super duper cool lab has an open position for PhD. Honestly, one of the best Institues in Germany.

We are mainly doing machine learning and quantum chem for small molecules and graphene.

https://www.h-its.org/hits-job/phd-position-m-f-d-in-computational-materials-science/

You can write me if you have questions about the supervisor, coworkers or working conditions.

AlphaFold2 and the future of structural biology
AlphaFold2 is a machine-learning algorithm for protein structure prediction that has now been used to obtain hundreds of thousands of protein models. The resulting resource is marvelous and will serve the community in many ways. Here I discuss the implications of this breakthrough achievement, which changes the way we do structural biology.

https://www.nature.com/articles/s41594-021-00650-1

#reproducibiliTea #bioinformatics

FREE-NO CERTIFICATE
MINI WORKSHOP ON RNA-SEQ ANALYSIS

🎙Guest Speaker:
Akshaya VS IIT-Madras

▶️Live on
28th Sunday,
at 2.30 PM Paris / 6 PM Chennai

📚Topics to be covered:

Module 1
- Introduction
- Types of RNA-seq
- Quantification- Normalisation

Module 2
- Exploratory data analysis (Transformation of counts, PCA, t-SNE, UMAP)
- Differential analysisComparing with simple and complex design matrix

Module 3
- Downstream Pathway Analysis ( Over-representation analysis, Gene set enrichment analysis )

👨‍💻REGISTER
https://www.nyberman.com/webinars

🔴Live stream details updated here 30 mins before the talk
NyBerMan Bioinformatics ReproducibiliTea Club Lecture Series where anyone can share their Bioinformatics Pipelines, Master Thesis, Ph.D. Thesis and Interesting Research Works. If you like to feature in this series, register here https://www.nyberman.com/nyberman-tutor

.
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📢«««««««
Channel @llbschool
Forum @letslearnbioinformatics

Researchers in Japan have made perfluorocubane for the first time. When reduced, the molecule can hold a single electron inside its box-like structure – an unusual, real-life example of the quantum mechanical ‘particle in a box’ principle.

https://www.chemistryworld.com/news/perfluorocubane-catches-electron-in-molecular-box/4016098.article

Pulses from an atom-sharp tip enable researchers to break and form chemical bonds at will
https://phys.org/news/2022-08-pulses-atom-sharp-enable-chemical-bonds.html

‘Periodic table’ of hydrocarbons maps ‘magic’ molecules with exceptional stability | Research | Chemistry World
https://www.chemistryworld.com/news/periodic-table-of-hydrocarbons-maps-magic-molecules-with-exceptional-stability/4016135.article

Chemist shows that intermolecular interactions can attain previously unknown dimensions
https://phys.org/news/2022-08-chemist-intermolecular-interactions-previously-unknown.html

Open Access - Roadmap on Machine learning in electronic structure

In recent years, we have been witnessing a paradigm shift in computational materials science. In fact, traditional methods, mostly developed in the second half of the XXth century, are being complemented, extended, and sometimes even completely replaced by faster, simpler, and often more accurate approaches. The new approaches, that we collectively label by machine learning, have their origins in the fields of informatics and artificial intelligence, but are making rapid inroads in all other branches of science. With this in mind, this Roadmap article, consisting of multiple contributions from experts across the field, discusses the use of machine learning in materials science, and share perspectives on current and future challenges in problems as diverse as the prediction of materials properties, the construction of force-fields, the development of exchange correlation functionals for density-functional theory, the solution of the many-body problem, and more. In spite of the already numerous and exciting success stories, we are just at the beginning of a long path that will reshape materials science for the many challenges of the XXIth century.

https://iopscience.iop.org/article/10.1088/2516-1075/ac572f

Quantum Chemistry in the Age of Quantum Computing

Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century. Although many approximation methods have been introduced, the complexity of quantum mechanics remains hard to appease. The advent of quantum computation brings new pathways to navigate this challenging and complex landscape. By manipulating quantum states of matter and taking advantage of their unique features such as superposition and entanglement, quantum computers promise to efficiently deliver accurate results for many important problems in quantum chemistry, such as the electronic structure of molecules. In the past two decades, significant advances have been made in developing algorithms and physical hardware for quantum computing, heralding a revolution in simulation of quantum systems. This Review provides an overview of the algorithms and results that are relevant for quantum chemistry. The intended audience is both quantum chemists who seek to learn more about quantum computing and quantum computing researchers who would like to explore applications in quantum chemistry.

https://pubs.acs.org/doi/10.1021/acs.chemrev.8b00803

Superheavy element flerovium is likely to be a liquid at room temperature | Research | Chemistry World
https://www.chemistryworld.com/news/superheavy-element-flerovium-is-likely-to-be-a-liquid-at-room-temperature/4016171.article