5 machine-learning-phd research jobs at CIC nanoGUNE

CIC nanoGUNE: Post-doctoral Researcher in Data Analysis and Machine Learning for Spectroscopic Data

The successful candidate will preferably have a PhD in Physics, Chemometrics, Informatics, Chemistry, or related Engineering field and experience in the following skills: • Machine learning and data analysis based

Post-doctoral Researcher in Data Analysis and Machine Learning for Spectroscopic Data

plan • Development of machine learning models for the classification of in vivo Raman spectra, applying chemometric methods. • Simulations and modification of data, advanced data analysis • Carrying out

CIC nanoGUNE: Post-Doctoral Researcher in Machine learning-assisted Raman spectroscopy

to machine learning models • Simulations and modification of data • Carrying out Raman measurements in vitro and in vivo • Development of protocols for biocompatibility and strict compliance with regulations

Pre-Doctoral Researcher in Quantum computing with spins in silicon

interdisciplinary teams, including machine learning experts, device modelling specialist, integrated circuit designers, and quantum algorithm developers. • Analyze and interpret experimental data, contributing

Post-Doctoral Researcher in Machine learning-assisted Raman spectroscopy

from in vivo Raman spectra • Applying chemometrics methods to machine learning models • Simulations and modification of data • Carrying out Raman measurements in vitro and in vivo • Development