2 architecture positions at ICN2 in phd

PhD Student (DOC-FAM) - Engineering flexible, comformable substrates for monitoring and treatment of brain disease

tissue architectures and minimize tissue response. This research project is truly multidisciplinary and will require new knowledge generation in materials engineering for the fabrication of flexible, soft

PhD Student - Theoretical and Computational Nanoscience Group

to the implementation of developed tools on the in-house LSQUANT code (www.lsquant.org) and computing architecture of TCN/ICN2 Requirements: Education: PhD in physics or electrical/ mechanical engineering Knowledge