Call for application 42nd cycle

Bando ordinario


Applications for participation in the competition, together with the corresponding payment, must be duly completed no later than 14:00 CET on 17 June 2026.

Educational goals and objectives

INNOVATIVE BIOMEDICAL TECHNOLOGIES IN CLINICAL MEDICINE
The PhD Programme in Innovative Biomedical Technologies in Clinical Medicine aims to deliver an advanced training programme in translational research, designed to train highly qualified researchers capable of integrating biological, clinical, and computational expertise to address the complexity of human diseases.
The programme places strong emphasis on the use of advanced technologies, Big Data analysis, and the application of Network Medicine paradigms, fostering the integration of clinical models with data-driven approaches in order to promote the translation of knowledge from basic research into clinical practice.

The training objectives of the PhD Programme include:

a) training in epidemiological principles for the interpretation of genetic susceptibility to multifactorial diseases;
b) training in genomic methodologies and the analysis of genetic variability, including bioinformatics tools;
c) training in the study of epigenetic modifications;
d) training in gene expression analysis techniques (mRNA, miRNA, lncRNA);
e) training in cell culture techniques, including stem cells and organoids;
f) training in in vitro and ex vivo studies of innate and adaptive immune cells;
g) training in the main methodologies for generating genetically modified animal models;
h) training in proteomics and metabolomics techniques for biomarker identification;
i) training in the principles and applications of Network Medicine;
l) training in the principles and applications of Big Data Science (generation, integration, and analysis of complex datasets);
m) design and implementation of predictive algorithms (machine learning) for the analysis of complex data;
n) training in and application of innovative imaging techniques;
o) training in pharmacology, with particular emphasis on pharmacogenetics and pharmacogenomics;
p) training in the fundamentals of clinical research (study design, statistical methods, controlled trials);
q) training in in silico clinical research (physiological, pathophysiological, and pharmacological simulation models);
r) training in the principles of animal experimentation, including ethical aspects;
s) management, analysis, and interpretation of experimental data, including principles of open science, reproducibility, and data governance;
t) evaluation of the entrepreneurial and industrial aspects of advanced biotechnologies.

Number of positions available


Sapienza Scholarships Affliliated Institutions or Excellence Industrial PhD Without scholarship
4 0 0 1

Themes, curriculum and specific competence



Sapienza scholarships: 4


Admission Procedure

Qualifications assessment The evaluation of the candidate's qualification will be based on:

1. Short curriculum vitae which includes, in particular, the title of the thesis or
specialization, the degree of postgraduate courses, and the previous research experience in Italy and / or abroad, including the list of publications (including meeting presentations).

2. Research project. For the purpose of selection for the PhD, the candidate must submit a project that can assess the applicant's propensity for the research and its ability to independently design and organize the various phases of the project. The project must not exceed the maximum length of 8000 characters (including spaces, excluding references). The project presented for competition purposes is not an obligation for the candidates admitted to carrying out the research activity during the PhD course.

The documents may be submitted in either Italian or English.

Candidates who obtained at least 25/40 in the assessment of their qualifications and project are admitted to the written test.

Written examination The candidate must write a short essay on 1 topic selected by lot among 3 proposed by the Committee The topic of written test will be selected among the following subjects:

1. Precision medicine and its applications (genetic and epigenetic aspects)
2. The genetic and epigenetic bases of oncology pathology
3. Immunological mechanisms of chronic childhood and adult illnesses
4. Clinical-diagnostic aspects of metabolic disease
5. The genetic and biochemical markers of cardiovascular risk
6. In vivo imaging methods and their applications in cardiovascular and neoplastic diseases
7. The methodologies for studying genome and its variability (genomic analysis of SNPs and CNV; DNA methylation analysis techniques; Next Generation Sequencing]
8. Innovative diagnostic and therapeutic approaches (stem cells, miRNAs, ASO
molecular therapies) applied to oncological, cardiovascular, inflammatory and endocrinological pathologies
9. Methodologies for studying complex genetic disorders
10. The use of computerized databases for the evaluation of clinical outcomes in the real world.

The time available to complete the essay is 4 hours.

The exam may be taken in Italian or in English

Candidates who obtained at least 40/60 in the written test are admitted to the oral exam.
language INGLESE
ITALIANO

Oral interview The interview will be based on the following topics:
1. Discussion of the contents of the written test
2. Evaluation of candidate previous research experience with reviewing of publications if reported
3. Discussion of the research proposal
4. Test of knowledge of scientific English language

The exam may be taken in Italian or in English.

The minimum positive score for the oral test is 40/60
language INGLESE
ITALIANO


contacts and info Indirizzo web del Corso di Dottorato: https://phd.uniroma1.it/web/TECNOLOGIE-BIOMEDICHE-INNOVATIVE-IN-MEDICINA-CLINICA_nD3551_IT.aspx Indirizzo di posta elettronica per richiesta di informazioni: mariaconcetta.maiorano@uniroma1.it PhD Programme website: https://phd.uniroma1.it/web/TECNOLOGIE-BIOMEDICHE-INNOVATIVE-IN-MEDICINA-CLINICA_nD3551_IT.aspx Email address for information: mariaconcetta.maiorano@uniroma1.it

Curriculum studiorum

Graduation date and grade of the Master's degree
detailed list of exams including completion dates and scores of Masters's degree
Graduation date and grade of the Bachelor’s degree
detailed list of exams including completion dates and scores of Bachelor's degree
History of Scholarships, Research Grants (or similar)
Certificates of participation in post-graduate university courses
certificates of Participation in research groups
certificates of Participation in internships

Required documentation

§ degree thesis abstract
optional
Brief description (max 300 words) of the content and results of the thesis work, the file must be uploaded within le ore 14:00 del 17/06/2026

§ research project
mandatory
The Research Project must describe in sufficient detail an idea for a study or research. The text must be divided into the following sections: 1) background knowledge on the chosen topic, 2) scientific rationale for the project and its specific aims, 3) methodology that is proposed to be used, which must also include a brief description of the experimental models (patients to be enrolled, cellular or animal models, laboratory methods) and statistical analyses), 4) the expected results and their possible impact on current knowledge in the specific area.
The project should not exceed a maximum length of 8000 characters (including spaces and excluding references)
, the file must be uploaded within le ore 14:00 del 17/06/2026

§ Curriculum Vitae et Studiorum
mandatory, the file must be uploaded within le ore 14:00 del 17/06/2026

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day25/06/2026
notesnone
publication on notice boardYes
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIE-BIOMEDICHE-INNOVATIVE-IN-MEDICINA-CLINICA_nD3551.aspx
date of publication26/06/2026
contactsmariaconcetta.maiorano@uniroma1.it

Written examination
day02/07/2026 ERRATA CORRIGE: Aula GIUNCHI - edificio ex III Clinica Medica, Viale Regina Elena 324
notesnone
time08:30
classroomda definire
addressda definire
publication on notice boardYes
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIE-BIOMEDICHE-INNOVATIVE-IN-MEDICINA-CLINICA_nD3551.aspx
date of publication07/07/2026
contactsmariaconcetta.maiorano@uniroma1.it

Oral interview
day13/07/2026 ERRATA CORRIGE: Aula CAPOCACCIA - edificio ex III Clinica Medica, Viale Regina Elena 324
notesnone
time09:00
classroomda definire
addressda definire
publication on notice boardYes
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIE-BIOMEDICHE-INNOVATIVE-IN-MEDICINA-CLINICA_nD3551.aspx
date of publication13/07/2026
contactsmariaconcetta.maiorano@uniroma1.it


Evaluation scale

Qualifications assessment

Valutazione titoli

Punteggio massimo complessivo per la prova/overall max score: 40

Voto di laurea magistrale (specialistica o a ciclo unico)
Master's Degree graduation grade

Punteggio massimo/max score: 5
Punteggio attribuiri in relazione al voto di laurea
Scores according the final degres
110, 110 e lode
110, 110 cum laude
5,0
109 -1084,0
107 -1063,0
105 -1042,0
103 -1021,0
<1020,0
Gli studenti che discuteranno la tesi dopo la presentazione della domanda, ma comunque prima del 31 ottobre 2026, la griglia del voto di laurea è sostituita dalla seguente:
Students who will defend the thesis after submission their application, but before October 31, 2026, the grid is replaced by the following
29 - 305,0
28 – 28.994,0
27 - 27.993,0
26 - 26.992,0
25 - 25.991,0
<250,0

Pubblicazioni
Pubblications

Punteggio massimo/max score: 7
È possibile assegnare fino a un massimo di 7 punti complessivo per la categoria "pubblicazioni". All'interno di ogni sotto-categoria, si possono valutare più prodotti, fino al raggiungimento del punteggio massimo specificato per ogni sotto-categoria.
Up to a maximum of 7 points may be awarded for "Pubblications" Category. Within the sub-category, multiple products may be evaluated, up to the overall maximum of points allocated to the sub-category.
Pubblicazione ISI (primo autore)
ISI (author)
4,0
Pubblicazione ISI (co-autore)
ISI (co-author)
3,0
Libro o Capitolo di libro (solo autore)
Book or chapter in book (author)
2,0
Libro o Capitolo di libro (co-autore)
Book or chapter in book (co-author)
1,0
Contributo a convegno
Contribution to a lecture/ congress
1,0

Esperienze di ricerca
Research experiences

Punteggio massimo/max score: 3
È possibile assegnare fino a un massimo di 3 punti complessivo per la categoria "Esperienze di ricerca". All'interno di ogni sotto-categoria, si possono valutare più prodotti, fino al raggiungimento del punteggio massimo specificato per ogni sotto-categoria
Up to a maximum of 3 points may be awarded for "Research experiences" Category. Within the sub-category, multiple products may be evaluated, up to the overall maximum of points allocated to the sub-category.

Esperienze all’estero (almeno due mesi, compreso Erasmus)
Experience abroad (at least 2 months, including Erasmus)
2,0
Contratti di collaborazione alla ricerca
Collaboration contracts
2,0
Corsi di formazione alla ricerca
Training coursesfor researchers
1,0

Progetto di ricerca
Research project

Punteggio massimo/max score: 25
Conoscenza dello stato dell’arte
Knowledge of the state of the art
5,0
Originalità e contenuto innovativo
Innovative aspects of the project
5,0
Chiarezza e completezza dell’esposizione degli obiettivi, delle metodologie e dei potenziali risultati
Clarity and completeness of the presentation of objectives, methodologies, and potential results
5,0
Fattibilità del progetto
Feasibility of the project
5,0
Pertinenza del progetto con gli obiettivi formativi del dottorato
Relevance of the project to the educational objectives of the PhD programme
5,0


Written examination

Prova scritta

Punteggio massimo complessivo per la prova/overall max score: 60

Conoscenza e competenza della tematica oggetto della prova
Knowledge and proficiency in the subject matter of the test

Punteggio massimo/max score: 20

Capacità e chiarezza nell’elaborazione
Ability and clarity in elaboration

Punteggio massimo/max score: 20

Completezza descrittiva e recenti acquisizioni sul tema oggetto della prova
Descriptive completeness and recent findings in the subject matter of the test

Punteggio massimo/max score: 20


Oral interview

Prova orale

Punteggio massimo complessivo per la prova/overall max score: 60

Discussione delle tematiche relative al progetto di ricerca
Discussion of topics related to the research project

Punteggio massimo/max score: 30

Discussione dell’elaborato e dei titoli del candidato: chiarezza espositiva, capacità di sintesi e interesse scientifico del curriculum
Discussion of the paper and the candidate's qualifications: clarity of presentation, ability to synthesize, and scientific interest of the CV

Punteggio massimo/max score: 20

Lingua straniera
Foreign language

Punteggio massimo/max score: 10


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