2026-IdrDip-07-sanpubb - Neurodevelopment, Mental Health and Psychological Wellbeing of Children and Adolescents

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): An advanced educational background in medical statisticsand epidemiological methodology is required, togetherwith in-depth knowledge of multivariable statisticalmodels. In particular, expertise in the application ofBayesian models for the geographical mapping ofepidemiological measures, as well as research experiencein epidemiological and real-world studies, will beconsidered an asset.Documented experience in the management and analysisof health administrative records and databases, as well asresearch experience at qualified Italian and internationalinstitutions, will be considered preferential qualifications. Advanced computer skills in the use of major statisticalsoftware packages, such as SAS, Stata and R, are required,together with the ability to critically appraise the scientificliterature and independently prepare reports, scientificpublications and dissemination materials.The ability to work in multidisciplinary teams, acollaborative attitude and organizational autonomycomplete the profile. Additional qualifications and experience will also beconsidered, including a Master’s degree in Biostatistics,Research Methodology or Medical Statistics; enrolment ina PhD programme and/or a PhD degree in a field relevantto the research programme; research activities carried outthrough contracts, appointments or collaborations instatistical and epidemiological research; publications inindexed scientific journals; participation as a speaker atconferences, seminars or other scientific events; universityteaching and/or tutoring experience; and provenproficiency in scientific English.