The Amsterdam Centre for Multiscale Modelling (ACMM) is a joint venture of the Theoretical Chemistry groups of the Vrije Universiteit Amsterdam and the Computational Chemistry groups at the University of Amsterdam, bringing together expertise in the field of modelling of molecules, materials and biological processes.
Latest events:
January 9, 2023-January 20, 2023 MolSim-2023 is a school that runs for 2 weeks, and offers a program focusing on basic and advanced molecular simulation methods.
January 10, 2022-January 21, 2022 MolSim-2022 is a school that runs for 2 weeks, and offers a program focusing on basic and advanced molecular simulation methods.
In September 2021 a workshop is being held at the LC center in Leiden on “Accelerating the understanding of rare events”, sponsored by ACMM
Research highlights:
Authors:Harm Ikink
Andrew Ferguson, Associate Professor at the Fritzker School of Molecular Engineering of the University of Chicago, has been appointed visiting professor in Computational Science
Authors:Mahdi Shirazi
For development of enhanced simulation techniques to unravel complex molecular transitions On 22 September, Alberto Pérez de Alba Ortíz successfully defended his PhD thesis
Authors: Sophie Blinker, Jocelyne Vreeede, Peter Setlow, and Stanley Brul
Bacillus subtilis forms dormant spores upon nutrient depletion. Germinant receptors (GRs) in spore’s inner membrane respond to ligands such as L-alanine, and trigger spore
Vacancies:
PhD position
Deadline: 15/12/2022
In collaboration with Microsoft Research Amsterdam we are actively looking for a PhD candidates for projects on the crossroads between Computational Chemistry and AI.
PhD position
Deadline: 15/12/2022
In collaboration with Microsoft Research Amsterdam we are actively looking for a PhD candidates for projects on the crossroads between Computational Chemistry and AI.
PhD position
Deadline: 16/03/2022
The increasing demand of the biomedical community for potent drug carriers leads to extensive efforts being put into developing nanocarriers with high specificity and