Sort by
Refine Your Search
-
to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials. · Other research experience will be considered
-
valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials
-
build using molecular dynamics, the MACE foundation models and density functional theory. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate
-
Professional Experience: PhD and at least 3 years postdoc experience in relevant areas of expertise. Personal Competences: Diligent, enthusiastic, ability in theory and experimental physics. Summary
-
Materials group (NANOSFUN) is a research group of the Catalan Institute of Nanoscience and Nanotechnology (ICN2) that focuses on the research and development of novel molecular and polymeric functional
-
conditions in a vibrant, multidisciplinary and international research environment. Within this project, the candidate will characterise well-defined electrocatalyst materials and investigate the molecular
-
). The job will be essentially related to implementing a novel photonic biosensor platform to be employed for the detection of sepsis biomarkers. If you are interested in joining a young, dynamic, and highly
-
evaluation and development of novel PEC systems. · Design and implement in-situ TEM experiments using the available gas and liquid sample holders to study dynamic processes in real-time, under controlled