Training and Research

PhD Programme Courses/classes - 2023/2024

Optical Imaging technique: principles and applications

Credits: 1

Language: English

Teacher:  Federico Boschi

Nanomaterials and green chemistry: from synthesis to applications

Credits: 1

Language: English

Teacher:  Adolfo Speghini

Tecniche di deposizione a film sottile per biomateriali, applicazioni biomediche e energia solare

Credits: 1,5

Language: English

Teacher:  Alessandro Romeo

Protein crystallization and structure solving: classical and novel methods

Credits: 1,5

Language: English

Teacher:  Massimiliano Perduca

Forensic toxicology and analitics

Credits: 6

Language: English

Teacher:  Rossella Gottardo

Erasmus + seminars

Credits: 5,3

Language: English

Forensic Genetics

Credits: 4

Language: English

Teacher:  Stefania Turrina

An introduction to NMR spectroscopy for the study of biomacromolecules

Credits: 1

Language: English

Teacher:  Mariapina D'Onofrio

Tecniche di immagine per l'analisi della composizione corporea

Credits: 1

Language: English

Teacher:  Carlo Zancanaro

Application of multimodal imaging techniques in the study of the skeletal muscle

Credits: 0,5

Language: English

Teacher:  Barbara Cisterna

Biophysical Methods for the Analysis of Protein-Ligand interactions

Credits: 1

Language: English

Teacher:  Filippo Favretto

Engineering photosynthesis to enhance productivity

Credits: 1

Language: English

Teacher:  Stefano Cazzaniga

Inibitori e stabilizzatori delle interazioni proteina-proteina

Credits: 0,5

Language: English

Teacher:  Francesca Munari

Luminescent lanthanide complexes for bioimaging and sensing applications

Credits: 0,5

Language: English

Teacher:  Fabio Piccinelli

Magnetic Resonance Imaging for the characterization of the central and peripheral nervous system

Credits: 1,5

Language: English

Teacher:  Pietro Bontempi

Markers of chronic alcohol abuse: analytical and interpretative aspects

Credits: 1

Language: English

Teacher:  Federica Bortolotti

Surface Metrology with optical techniques

Credits: 1

Language: English

Teacher:  Claudia Daffara

Synthesis, characterization and applications of luminescent nanostructured materials (titolo ridotto rispetto AA 2022-23)

Credits: 1

Language: English

Teacher:  Francesco Enrichi

Tecniche ultrastrutturali e citochimiche per individuare le nanoparticelle in cellule e tessuti

Credits: 1

Language: English

Teacher:  Manuela Malatesta

virtopsy: general aspects and new trends

Credits: 0,5

Language: English

Teacher:  Francesco Ausania

PhD school courses/classes - 2023/2024

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.

Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, no confirmation e-mail will be sent after signing up.

Teaching Activities ex DM 226/2021: Linguistic Activities

Teaching Activities ex DM 226/2021: Research management and Enhancement

Teaching Activities ex DM 226/2021: Statistics and Computer Sciences

Teaching Activities: Free choice


Not yet assigned





Class attendance

Free Choice

Learning objectives

The course aims to provide expertise that is required to perform more advanced statistical analysis, in order to interpret complex data patterns ruled by hidden or observed variables. Further, expertise for the realisation and interpretation of meta-analyses will also be provided. The course mainly targets human sciences, also with the aid of open source statistical software (R and JAMOVI).

Prerequisites and basic notions

he course will be delivered via Zoom; at least 70% attendance is required. At most 20 students will be admitted; precedence will be given to students in the Arts and Humanities area. Precedence criteria: 1. enrollment in a course of the Arts and Humanities area; 2. registration order.
Intermediate level statistics provides modules that are offered to all students of the PhD School. Students can choose the modules to attend according to their interests and acquired knowledge. Attendance of at least 20 hours is required to obtain credits.


1. ANOVA: One way ANOVA, factorial designs, repeated measure designs, mixed designs (4 hours)
2. Path analysis, Mediation and moderation analysis (4 hours)
3. Exploratory and confirmatory factor analysis (4 hours)
4. Introduction to Meta-analysis, focused on Human Sciences Research (literature review, data collection, database
construction) (4 hours)
5. Application of meta-analysis in social science and humanities fields (2 hours)
6. Test on acquired expertise (2 hours)

When and where

April 9, 2024; 9:00-13:00
April 11, 2024; 9:00-13:00
April 16, 2024; 9:00-13:00
April 18, 2024; 9:00-13:00
April 19, 2024; 9:00-13:00
May 7, 2024; 10:00-11:00
Zoom link will be given to admitted students only.



Ausania Francesco

symbol email symbol phone-number 0458127455

Bontempi Pietro

symbol email symbol phone-number +39 045 802 7614

Bortolotti Federica

symbol email symbol phone-number 045 8124618

Boschi Federico

symbol email symbol phone-number +39 045 802 7272

Calderan Laura

symbol email symbol phone-number 0458027562

Carta Angela

symbol email symbol phone-number +39 045 812 8270

Cazzaniga Stefano

symbol email symbol phone-number +39 045 8027075

Cisterna Barbara

symbol email symbol phone-number +39 045 802 7564

Daffara Claudia

symbol email symbol phone-number +39 045 802 7942

D'Onofrio Mariapina

symbol email symbol phone-number 045 802 7801

Enrichi Francesco

symbol email symbol phone-number +390458027051

Favretto Filippo

symbol email symbol phone-number 045 802 7865

Gottardo Rossella

symbol email symbol phone-number 045 8124247

Malatesta Manuela

symbol email symbol phone-number +39 045 802 7569

Manfredi Riccardo

symbol email symbol phone-number +39 045 802 74 89

Munari Francesca

symbol email symbol phone-number +39 045 802 7920

Nardon Chiara

symbol email

Perduca Massimiliano

symbol email symbol phone-number +39 045 8027984

Piacentini Giorgio

symbol email symbol phone-number +39 045 812 7120

Piccinelli Fabio

symbol email symbol phone-number +39 045 802 7097

Porru Stefano

symbol email symbol phone-number Diretto 045 812 4294 - Segreteria 045 802 7421-7422

Romeo Alessandro

symbol email symbol phone-number +39 045 802 7936; Lab: +39 045 802 7808

Sbarbati Andrea

symbol email symbol phone-number +39 045 802 7266

Speghini Adolfo

symbol email symbol phone-number +39 045 8027900

Turrina Stefania

symbol email symbol phone-number 045/8027622

Zancanaro Carlo

symbol email symbol phone-number 045 802 7157 (Medicina) - 8425115 (Scienze Motorie)

PhD students

PhD students present in the:

No people are present.

Course lessons
PhD Schools lessons


Guidelines for PhD students

Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.


Title Info File
File pdf Dottorandi: linee guida generali (2023/2024) pdf, it, 111 KB, 26/02/24
File pdf PhD students: general guidelines (2023/2024) pdf, en, 127 KB, 26/02/24