ONLINE BOOK
—-
https://github.com/weisscharlesj/SciCompforChemists?tab=readme-ov-file

Я тут случайно выяснил, что у нас открыты позиции постдоков в вычислительной биологии, сингл-селл. Позицию пока не рекламили, поэтому есть шанс проконтактировать раньше всех. Особенность в том, что она на 5 лет: это крутая возможность спокойно поделать крутой рисёрч, а заодно и немецкий паспорт получить, если хочется

Очень умные люди вокруг, топовая лаба по методам анализа сингл-селла в мире, натуры и ML-конференции, расположение в большом, но спокойном Мюнхене. Если шарите в ML, интересуйтесь биологией и звучит актуально, подавайтесь: https://jobs.helmholtz-muenchen.de/jobposting/fff4a86d203a3190e66782d373aa4a056478786b0?ref=homepage

#вакансии

Более 50% ученых покидает науку в течение 10 лет после начала карьеры, из них более 1/3 в течение первых 5 лет после публикации статьи первым автором, причем для женщин эти показатели выше, чем для мужчин. Nature: https://www.nature.com/articles/d41586-024-03222-7

#карьера

#PhD

Dear colleagues,

The newly formed Semiconductors and Microelectronic systems (SAM) group at TU Berlin has 2 open PhD positions in Neuromorphic Computing and Hardware for Artificial Intelligence (AI). We’re seeking passionate, self-motivated, and creative researchers eager to design and develop novel materials and devices for bio-inspired sensing and computing.

Inspired by the biological brain, our group will work on nanoelectronic materials and devices that host an innovative hardware-based AI—**neuromorphic computing**. This approach aims to overcome the limitations of software-based AI, enhancing energy efficiency, miniaturization, privacy, and scalability.

The SAM group is led by Prof. Priyamvada Jadaun, Chair Professor of Electrical Engineering and Computer Sciences at TU Berlin. Prof. Jadaun also holds a Visiting Scholarship at the University of California, Berkeley, USA, and an Affiliate position at Lawrence Berkeley National Laboratory, USA.

Please forward this opportunity to interested candidates. Application deadline: November 18, 2024.

🔗 More details on positions:
1. https://tub.stellenticket.de/en/offers/188619/
2. https://tub.stellenticket.de/en/offers/188620/

🔗 More on the group:
1. https://pjadaun.com
2. https://www.tu.berlin/en/sam

Fred Hamprecht is a cool dude

🚨 PhD Position in Machine Learning for Orbital-Free Density Functional Theory 🚨

📍 Heidelberg University, Germany

The Institute for Theoretical Physics (ITP) and the Interdisciplinary Center for Scientific Computing (IWR) invite applications for a PhD position in physics, focusing on orbital-free density functional theory (OF-DFT) using machine-learned functionals.

🔬 Research Focus:
Orbital-free density functional theory offers computational accuracy comparable to coupled-cluster methods but at significantly lower computational cost. Currently, precise density functionals are limited, especially for open-shell systems. This project will implement and extend an existing codebase using machine learning techniques to develop high-quality functionals for open-shell systems.

👩‍💻 Candidate Profile:
- Background in Physics, Chemistry, or Computer Science
- Familiarity with condensed matter physics or theoretical chemistry
- Strong programming skills (Python, C, and Torch preferred)
- Motivation for collaborative, interdisciplinary research

👥 Supervisors:
- Prof. Maurits W. Haverkort (ITP)
- Prof. Fred Hamprecht (IWR)

📧 Apply by: April 30, 2025
Send applications to:
👉 m.w.haverkort@thphys.uni-heidelberg.de

Don't miss this exciting research opportunity!

#PhD #MachineLearning #Physics #Chemistry #DensityFunctionalTheory #OFDFT #HeidelbergUniversity #ResearchOpportunity