Call for application 41st cycle

Bando ordinario


Educational goals and objectives

INNOVATIVE BIOMEDICAL TECHNOLOGIES IN CLINICAL MEDICINE
The doctoral program in Innovative Biomedical Technologies in Clinical Medicine aims to implement a translational research training program.
Thus, the specific aims of the doctoral program are to:
(a) achieve better interaction between the contents of biological, clinical and computer sciences;
(b) to create a new professional figure in the biomedical and technological field who is an expert in translational medicine and is able to merge basic and clinical skills.
The training objectives are:
(a) learning elements of epidemiology to interpret genetic susceptibility to multifactorial diseases
(b) learning genome study methodologies including through bioinformatics methodologies
(c) learning methodologies for studying epigenetic modifications
(d) learning methodologies for studying gene expression
(e) learning techniques for cell, stem cell and organoid culture
(f) learning techniques for in vitro and ex vivo study of cells of innate and adaptive immunity
(g) learning the main methods of generating constitutive and conditional genetically modified animals
(h) learning of proteomics and metabolomics techniques for the identification of predictive markers of disease
(i) learning the principles and applications of network medicine
(l) learning and application of innovative imaging techniques
(m) learning the principles of pharmacology with special reference to knowledge of pharmacogenetics and pharmaco-genomics, pharmaco-prevention
(n) learning the principles and applications of BigData Science
(o) learning the basics of clinical trials
(p) learning the basics of in silico clinical trials (development of simulation models for human physiology, pathophysiology, pharmacokinetics, and pharmacodynamics; development of methods and software for evaluating the efficacy of drugs, diagnostic tools, or personalized medical treatments)
(q) learning the principles of animal experimentation including elements of biomedical ethics;
(r) evaluation of entrepreneurial and industrial aspects of advanced biotechnology.
(s) design and implementation of predictive algorithms (machine learning) to analyse and extract useful knowledge from the large variety and quantity of available medical data in the form of networks (biological and social), sequences, and unstructured data (text and images, medical records, and social data).

Specifiche economiche


Sapienza Scholarships Other Scholarships Departments Without scholarship
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Themes, curriculum and specific competence




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 (spaces included). The project presented
for competition purposes is not an obligation for the candidates admitted to
carrying out the research activity during the PhD course.

Candidates who obtained at least 30/40 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.

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

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

contacts and info indirizzo del sito https://phd.uniroma1.it/web/TECNOLOGIEBIOMEDICHEINNOVATIVEIN- MEDICINA CLINICA_nD3551_IT.aspx
more info mariaconcetta.maiorano@uniroma1.it Tel. 0649975131

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 23:59 del 19/06/2025
§ 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)
, the file must be uploaded within le ore 23:59 del 19/06/2025
§ Curriculum Vitae et Studiorum
mandatory, the file must be uploaded within le ore 23:59 del 19/06/2025

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day02/07/2025
notesnone
publication on notice boardYes
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIEBIOMEDICHEINNOVATIVEIN- MEDICINA-CLINICA_nD3551_IT.aspx
date of publication04/07/2025
contactsmariaconcetta.maiorano@uniroma1.it

Written examination
day07/07/2025
notesnone
time08:30
classroomAula Capocaccia - Dipartimento di Medicina Traslazionale e di Precisone - Piano Terra
addressViale dell'Università 37
publication on notice boardYes
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIEBIOMEDICHEINNOVATIVEIN- MEDICINA-CLINICA_nD3551_IT.aspx
date of publication11/07/2025
contactsmariaconcetta.maiorano@uniroma1.it

Oral interview
day15/07/2025
notesnone
time08:30
classroomAula Capocaccia - Dipartimento di Medicina Traslazionale e di Precisone - Piano Terra
addressViale dell'Università 37
publication on notice boardYes
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIEBIOMEDICHEINNOVATIVEIN- MEDICINA-CLINICA_nD3551_IT.aspx
date of publication17/07/2025
contactsmarcello.arca@uniroma1.it


Evaluation scale

Qualifications assessment

Valutazione titoli

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

Voto di Laurea
University final degree mark

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 prima della data stabilita per la valutazione dei titoli sono tenuti a comunicare al Coordinatore del corso o al Presidente della Commissione il voto di laurea conseguito, mentre per coloro che discuteranno la tesi dopo la data stabilita per la valutazione dei titoli, ma comunque prima del 31 ottobre 2025, la griglia al punto 1 è sostituita dalla seguente
Students who will defend their thesis before the date established for the evaluation of qualifications are required to communicate to the PhD Programme Coordinator or to the President of the Commission the grade obtained in their degree, while for those who will defend the thesis after the date established for the evaluation of qualifications, but before October 31, 2023, the grid in point 1 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
Pubblicazione ISI (primo autore)
ISI (author)		5,0
Pubblicazione ISI (co-autore)
ISI (co-author)		2,0
Libro o Capitolo di libro (solo autore)
Book or chapter in book (author)		5,0
Libro o Capitolo di libro (co-autore)
Book or chapter in book (co-author)		2,0
Contributo a convegno
Contribution to a lecture/ congress		5,0

Esperienze di ricerca
Research experiences

Punteggio massimo/max score: 3
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		1,0
Corsi di formazione alla ricerca
Training courses for 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

Prova scritta
Written test

Punteggio massimo/max score: 60
In particolare verranno valutati: • Conoscenza e competenza della tematica oggetto della prova (20 punti) • Capacità e chiarezza nell’elaborazione (20 punti) • Completezza descrittiva e recenti acquisizioni sul tema oggetto della prova (20 punti)
the following will be evaluated: • Knowledge and proficiency in the subject matter of the test (20 points) • Ability and clarity in elaboration (20 points) • Descriptive completeness and recent findings in the subject matter of the test (20 points)

Oral interview

Prova orale

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

Prova orale
Interview

Punteggio massimo/max score: 60
Durante la prova orale vengono approfonditi e chiariti aspetti riguardanti i titoli presentati, l’elaborato scritto e/o il progetto i cui punteggi saranno così distribuiti: • Discussione delle tematiche relative al progetto di ricerca (40 punti); • Discussione dell’elaborato e dei titoli del candidato: chiarezza espositiva, capacità di sintesi e interesse scientifico del curriculum (10 punti); • lingua straniera (10 punti).
During the interview, aspects regarding the submitted qualifications, the written paper and/or the project proposal will be explored and clarified, with points distributed as follows: • Discussion of topics related to the research project (40 points); • Discussion of the paper and the candidate's qualifications: clarity of presentation, ability to synthesize, and scientific interest of the CV (10 points); • Foreign language (10 points).

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