Integrating deep learning CT-scan model, biological and clinical variaBles to pRedict sEverity of asTHma in childrEn (BREATHE, NCT05140889)

The application for admission to the selection procedure (dated and signed),the documents and publications considered useful for the evaluation must be submitted, under penalty of exclusion, electronically, by visiting the following web page: https://pica.cineca.it/unipv/tipologia/idr selecting the Competition Notice you have chosen. In order to register with the system, you must have an email address. Following the guidelines published in the procedure, the applicant must enter all the information required for the application, enclosing all documents in electronic .PDF format. The selection of candidates is carried out on the basis of qualifications and possible interview (with test of knowledge of the foreign language) (see Art. 1 par. 1 Call for applications). The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: https://pica.cineca.it/unipv/tipologia/idrThe selections are open to candidates, Italian or foreigner, in possession, on the date of the deadline for submitting applications for the admission to the selection, of a master's degree or single-cycle degree obtained no more than six years previously are eligible to participate in the selection process. These degrees must be relevant to the subject of the research activity. Further specific assessable qualifications (see Art. 1 par. 1 Call for applications): -Documented scientific research activity in the field of pediatric respiratory diseases, pediatric radiology, and quantitative image analysis;-Advanced expertise in pediatric medical image processing and quantitative image analysis, including the application of radiological scoring systems and validated quantitative methodologies;-Documented experience in the application of artificial intelligence methodologies in pediatric healthcare, with particular reference to automatedmedical image analysis.