Winter school + workshop "Quantum Dynamics and Spectroscopy of Functional Molecular Materials and Biological Photosystems", to be held from 23 to 28 February 2025 (school) and 2-7 March 2025 (workshop). About the event The past 10-15 years have seen major advances in ultrafast optical spectroscopies, leading notably to the development of two-dimensional electronic (UV-Vis) spectroscopies, […]
Registration link (you can also join lectures selectively): https://eu01web.zoom.us/webinar/register/WN_Yp-w4G9NR2-DTsE1aUhdcQ
Speaker: Chiara Caldini (LENS) Cellular compartmentalization is the separation of the cellular interior into distinct compartments, each with specific conditions and materials, that enable the simultaneous execution of different metabolic processes. This organization is essential for regulating cellular functions, as it enhances efficiency by minimizing the loss of intermediate products. While the compartmentalization of eukaryotic cells […]
From 9 March to 14 March 2025 the DPG Spring Meeting of the Atomic, Molecular, Quantum Optics and Photonics Section (SAMOP) will take place on the campus of the University of Bonn. The conference is organised by the following divisions and working groups: Atomic, Molecular, Quantum Optics and Photonics Section (SAMOP) Atomic Physics Short Time-scale […]
From 16 March to 21 March 2025 the DPG Spring Meeting of the Condensed Matter Section (SKM) will take place on the campus of the University of Regensburg. The conference is organised by the following divisions and working groups: Condensed Matter Section (SKM) Biological Physics Chemical and Polymer Physics Thin Films Dynamics and Statistical Physics […]
Speaker: Carlos Serpa (LaserLeap)This webinar will explore the journey from fundamental research to a viable business model within a technology-based university spin-off. Using the case of LaserLeap Technologies - a medical and aesthetic device company founded in 2011 by a professor, a researcher and a doctoral student - we will examine key aspects of technology […]
This machine learning for materials training course is being run by the Physical Sciences Data Infrastructure (PSDI) initiative in collaboration with AIchemy, with support from STFC-SCD, PSDS, CCP5 and CCP9 as a follow up to the very popular 2023 Machine learning for Atomistic Modelling Autumn School. This training is targeted towards PhD students, in particular […]