Research appointment pre-doc
05/BIOS-11 - Pharmacology
Uni. Turin
Posted on: 21/09/2026 Deadline: 13/10/2026
Compensation 22,500 €
Maximum duration 12 months

Development of chromatographic methods coupled with mass spectrometry for molecules of oncological interest.

In the field on oncology, Therapeutic Drug Monitoring (TDM) can be an extremely valuable tool to obtain “personalized medicine”, with the goal of optimizing drug posology on the basis of the observed drug concentrations.The research activity will consist in the development, validation and application of a Ultra-High Performance coupled with Tandem-Mass Spectrometry (UHPLC-MS/MS) assay for the quantification of molecules of oncologic interest, starting from 5-fluorouracil, together with uracil and 5-DH-U.The method may be useful for the phenotyping of drug metabolism and disposition, complementing eventual pharmacogenetic, anthropometric and clinical information, thus helping to define the optimal drug dosage for each patient.

Selection process

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-iv - 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 13/10/2020). The Call for Applications (published on the University Bulletin Board under ref. no. 4688 of 21/09/2026), 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/ .
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