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





Class attendance

Free Choice



Learning objectives

The course aims at introducing the participants to R and to some of its most powerful innovations, which have recently reshaped the way the R code is designed. The approach of the course is mainly applicative, and particular attention is devoted to some topics which are becoming more and more relevant in research, and typically entails highly time-consuming activities, such as data manipulation and code documentation. A unified conceptual framework is provided on model fitting, in order to make participants able to cope with different (and new) regression models autonomously and efficiently.This module
introduces the participants to R language and to its basic functions for statistical analysis of data and stochastic simulations.


1. Introduction to R: R and RStudio; working directory and workspace; special values; types and R objects: scalars, vectors, matrices, data.frame, lists; indexes; matrix operations; definition of new functions; the function str and the help of R.
2. Basic statistics with R: factor variables and the cut function; basic statistical functions; frequency tables and basic statistical tests; probability distributions; (pseudo)-random number generators and seeds; introduction to Monte Carlo simulations.

When and where

13 March 2024, 12:00-15:00
Aula E, Istituti Biologici
26 March 2024, 12:00-15:00
Aula 4, Lente Didattica
3 April 2024, 12:00-14:00
Aula E, Istituti Biologici

Lessons will be delivered in presence. At least 75% attendance is required.



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