'Tesi triennale':

Topics are available, concerning the cultural background of MIDA research themes in computational astrophysics, inverse problems, medical imaging, computational neuroscience and soft computing.

'Tesi specialistica':

Semi-analytical approach for the reduction of geometrical distortion in Magnetic Resonance Imaging

Inversion methods in electrocorticography

Computational solution of the forward problem for the microPET.

Bayesian filtering for RHESSI imaging.

Formulation and implementation of a regularization technique for the solution of the gamma-ray spectroscopy problem with data collected by RHESSI.
Formulation and implementation of the Pixon method for RHESSI visibilities.

Qualitative inverse scattering for microwave tomography: comparison of algorithms.

Study of the optimal number of degrees of freedom in qualitative inverse scattering.

Linear sampling method for aspect limited data.

Computational methods for the optimization of DIXON data in Magnetic Resonance Imaging.

Computational techniques for an effective implementation of the L1 + L2 approach to the solution of the MEG/EEG inverse problem.

Inversion methods in electrocorticography

Mathematical formulation of a spatially resolved approach to compartmental analysis for PET data.

Application of clustering techniques to the analysis of superconducting thin films prepared by means of pulsed laser deposition.

Pattern recognition methods for the analysis of Reflection High Energy Electron Diffraction (RHEED) images.

PhD Thesis:

Several topics appropriate for PhD thesis programs in mathematics, physics and engineering are available, dealing with all research themes addressed by MIDA scientific activity.