PHD ON "DEEP LEARNING TECHNIQUES FOR INVERSE PROBLEM IN IMAGING"
Descrizione dell'offerta di lavoro
3-year doctoral fellowship in Space Science and Technology.
itle.
Deep Learning techniques for inverse problem in imaging (CUP E66E)Doctoral site.
niversity of BresciaMobility abroad.
ompulsory, minimum 6 monthsDescription.
Inverse problems deal with the reconstruction of an unknown signal, image, or multi-dimensional volume from a set of observations, which are generally the result of a non-invertible forward process.
A wide range of scenarios fall within this definition, such as deconvolution, image deblurring, inpainting, and so on.
As inverse problems are usually ill-posed, in general, it is not possible to find a unique solution that describe the observation, unless some prior knowledge about the data is available.
Traditional approaches, based on the minimazion of a cost function and a regularizer taking into account possible prior knowledge on data, are found to underperform with respect to recent deep learning techniques.
The goal of the project is to explore the potentiality of some modern deep learning techniques in selected imaging cases, such as muography and medical imaging, which are relevant to science and industry.
he student will be based in Brescia (Italy) but at least 6 months (up to 12 months) will be spent abroad.
The application is online (see link below) and the deadline isJuly 16th, hrs.
4.
PM(Italian time).
The selected candidate will start onNovember ).
o apply.
https://www.
nitn.
t/en/ateneo//announcement-of-selection
Dettagli dell'offerta
- Imprecisato
- Tutta l'Italia
- Imprecisato - Imprecisato
- 10/09/2024
- 09/12/2024
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