Luciano Andres AbriataEnseignement et PhD Cours Basic and advanced NMR - Level 1 A (EPFL) CH-601(x) Basic and advanced NMR - Level 2 (EPFL) CH-703 The goal is to give a sound theoretical and practical foundation in NMR for various applications in research. PhD students and post-docs who have followed the course successfully should be able to perform modern multi-dimensional NMR experiments independently. Integrative structural biology for Life sciences BIO-643 Recombinant protei
Andrea CapozziExpertise
Nuclear Magnetic Resonance (NMR)Electron Spin Resonance (ESR)Dynamic Nuclear Polarization (DNP)Hyperpolarization TechniquesCryogenics
Open PhD positions
Open PhD position on the Physics of Xenon hyperpolarizationA PhD student position is available on the Physics of Xenon hyperpolarization: Spin Exchange Optical Pumping (SEOP) and Dynamic Nuclear Polarization (DNP)The project builds on a well-established and long-standing collaboration between the Laboratory for Functional and Metabolic Imaging at
Livia Eleonora Bove KadoExpertise
Member of the Scientific Council of the Institute de Physique CNRS since 2018Member of the Transition énergétique et changements globaux, Working Group CNRS, CS INP Representative since 2021Member of the Editorial Board Sapienza University Press (Italy), Senior Editor for the Natural Science Division since 2020Member of the European High-Pressure Research Group Committee since 2018Member of the EPS- Liquid Matter Committee since 2018Chair Liquids and Glasses ILL Panel 2016-2020 Co-editor of Fronte
Romain GuietExpertise
Development of BioImage Analysis workflows and algorithms to extract quantitative data from microscopy images.BioSample Preparation : in vitro cell, organoid, time-lapse, fixation, staining strategies, actin, mitochondria, fluorescent protein expressionBioImage Acquisition : Widefield, Confocal, Whole Slide Imaging, Super-resolution (SIM, STORM, STED), FRET, FRAP, FLIMBioImage Analysis: Colocalisation analysis, Deconvolution, Time-lapse , Whole Slide ImagingTools & Software: ImageJ/Fiji, QuPath, i
David Lyndon EmsleyEnseignement et PhD Doctorant·es actuel·les Ray Cowen, Ümmügülsüm Günes, Máté Visegrádi, Ruben Rodriguez Madrid A dirigé les thèses EPFL de Dominik Józef Kubicki, Arthur César Pinon, Albert Hofstetter, Federico Maria Paruzzo, Baptiste Busi, Snaedis Björgvinsdóttir, Martins Balodis, Aditya Mishra, Manuel Cordova, Bruno Simões de Almeida, Yu Rao, Daria Torodii A co-dirigé les thèses EPFL de Daniele Mammoli, Anna Morales Melgares Cours Advanced nuclear magnetic resonance CH-401 Principes de l
Christian WäckerlinEnseignement et PhD Doctorant·es actuel·les Quy Hien Le, Diego Radillo Ochoa, Céline Hensky Cours Physics of low-dimensional materials PHYS-474 Ce cours couvre les concepts et la physique de la matière à dimensions réduites. La fabrication et la caractérisation de matériaux de dimension réduite ainsi que leurs applications potentielles sont discutées. L'examen critique et la présentation de publications scientifiques sont enseignés
Sylvie Roke2011 present: Julia Jacobi Chair in photomedicine, École Polytechnique Fédérale Lausanne (EPFL), CH. 2005 2012: Max Planck Research Group Leader (W2 /C3) of a centrally announced open theme independent research group. Host: The Max-Planck Institute for Metals Research, Stuttgart, DE. 2005 2005: Alexander von Humboldt Fellow, dept. of Applied Physical Chemistry, Heidelberg University, DE. 2004 2005: Postdoctoral Fellow, FOM-Institute for Plasma Physics, NL.
Gabriel AeppliEnseignement et PhD A dirigé les thèses EPFL de Dmitrii Usanov
Ivan MadanExpertise
Superconductivity; Ultrafast optical and electron spectroscopy; Plasmonics;Electron-light intercations
Expertise
Superconductivity; Ultrafast optical and electron spectroscopy; Plasmonics;Electron-light intercations
Michele CeriottiMichele Ceriotti received his Ph.D. in Physics from ETH Zürich in 2010. He spent three years in Oxford as a Junior Research Fellow at Merton College. Since 2013 he leads the laboratory for Computational Science and Modeling in the Institute of Materials at EPFL. His research revolves around the atomic-scale modelling of materials, based on the sampling of quantum and thermal fluctuations and on the use of machine learning to predict and rationalize structure-property relations. He has been awarded the IBM Research Forschungspreis in 2010, the Volker Heine Young Investigator Award in 2013, an ERC Starting Grant in 2016, and the IUPAP C10 Young Scientist Prize in 2018.
