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postdoc to support advanced characterization efforts within the framework of the IMPRESS project, a European initiative involving international partners. This project aims to tackle the global challenge
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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
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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
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of their optoelectronic properties through their manipulation at molecular level, with the aim of developing highly stable and highly efficient perovskite solar cells. Specifically, our contribution is in the area of
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as a team member/proposer of the beamtimes in syncrotron facilities. More than 2.5 years postdoc experience in renowned groups with international visibility; publications in high-impact peer-reviewed
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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
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and perform precision measurements in variable temperature cryostats, probing altermagnetic states and their control with electric fields. Work within a dynamic team to troubleshoot experimental
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areas of nanoscience and nanotechnology. Job title: Postdoctoral mini-project on photothermal effects in 2D materials Research area or group: Ultrafast Dynamics in Nanoscale systems Description of Group