The “Laboratory for Numerical Methods of Cryo Electron Tomography” is dedicated to advancing computational methods for the automated analysis and interpretation of 3D cell and tissue images. The research project will concentrate on utilizing deep learning techniques to identify and analyze small proteins within their natural surroundings. The laboratory will incorporate cutting-edge image processing methods into their in-house software package Dynamo for cryo electron tomography analysis to achieve this goal.
The IBF is a joint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC). In partnership with Fundación Biofísica Bizkaia (FBB), the centre focuses on advancing knowledge about the physical and chemical processes underlying biology and disease. With the FBB accredited as a Basque Excellence Research Centre (BERC) by the Basque Government, the IBF and FBB partnership enjoys a strong national and international reputation, and provides outstanding shared facilities for advanced biophysical and structural biology approaches in a new research building in the main Leioa campus of the UPV/EHU.
Ideal candidates must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab. An interest in carrying research in Life Sciences is assumed.