Predictive models for prognosis in oncology patients

Position: Research appointment (pre-doc) Institute: Uni. Turin
Posted on: 19/05/2026 Deadline: 09/06/2026

Scientific-Disciplinary Group

06/MEDS-24 - Medical Statistics, Hygiene, Public Health, Nursing And Midwifery

Description

The research activity will focus on the development and validation of predictive models for prognosis in oncology patients using clinical and epidemiological data. Survival analysis methods and advanced statistical techniques will be applied to estimate the risk of clinical outcomes (mortality, recurrence, progression). The project includes data management and integration, selection of prognostic variables, and evaluation of model performance (calibration and discrimination), with the possible use of machine learning approaches. Results will contribute to improved risk stratification and clinical decision-making.

Compensation

37,478 Euro

Number of positions

1

Maximum duration

12.0

Funding body

Università di Torino

Selection process

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Per Titoli e Colloquio. Il calendario dei colloqui viene pubblicato sull'Albo d'Ateneo ( https://webapps.unito.it/albo_ateneo/ ) e sul Portale di Ateneo ( https://lavorainateneo.unito.it/index_ir.html?type=SEL_IDR ). I candidati NON riceveranno comunicazione di ammissione al colloquio. La pubblicazione del calendario all'Albo Ufficiale dell'Ateneo equivale a notifica ai sensi di legge per la convocazione al colloquio. La domanda deve essere presentata tramite la procedura online https://pica.cineca.it/unito/medto-2026-iii - per informazioni: incarichiricerca@unito.it Mandatory requirement for admission to the selection: italian Laurea Magistrale, or Laurea a Ciclo Unico, or an equivalent degree from foreign Universities, obtained no more than 6 years prior to the application deadline (i.e obtained after 09/06/2020). The Call for Applications (published on the University Bulletin Board under ref. no. 2250 of 19/05/2026), containing the procedures to participate in the selection process and the specific requirements for each selection, is available at https://webapps.unito.it/albo_ateneo/ .