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

Ultrastructural and cytochemical techniques for tracking nanoparticles in cells and tissues

Credits: 1

Language: English

Teacher:  Manuela Malatesta

Sintesi, caratterizzazione e applicazioni di materiali luminescenti nanostrutturati

Credits: 1

Language: English

Teacher:  Francesco Enrichi

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

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

Credits

1.5

Language

Inglese - English

Class attendance

Free Choice

Location

VERONA

Learning objectives

The course aims at providing the theoretical and practical tools for the analysis of survival data in human populations and the associated risk factors, i.e. skills in the field of epidemiology, biostatistics and computer science (programming syntax of STATA statistical software).

Prerequisites and basic notions

The course requires basic knowledge of descriptive statistics, inferential statistics and probability theory. There are no preparatory courses.

Program

- General concepts of survival analysis: endpoint, survival time, survival function, hazard function.
- Univariable analysis: Kaplan-Meier estimator, median survival time, Mantel-Haenszel test.
- Multivariable analysis: Cox regression model.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

When and where

The course is structured in theoretical and practical lessons in the computer lab (12 hours) on the use of a statistical software (STATA) for the analysis of survival data. The teaching material (slides of the theoretical lessons, STATA files used for the practical lessons) is made available to the students on the e-learning web page of the course (Moodle platform).
Lectures will be held in person and via Zoom on 10, 11 and 12 June 2024 (14:00-18:00) in Aula informatica - Istituti Biologici Blocco A.
Link Zoom: https://univr.zoom.us/j/86568410479

Learning assessment procedures

There is no exam test. Attendance at all lessons is required to acquire course credits.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Assessment

There is no exam test.

Criteria for the composition of the final grade

There is no exam test.

Scheduled Lessons

When Classroom Teacher topics
Monday 10 June 2024
14:00 - 18:00
Duration: 4:00 AM
Istituti Biologici Blocco A - Biblioteca Meneghetti - Informatica Biologici [ - ] Simone Accordini Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model
Tuesday 11 June 2024
14:00 - 18:00
Duration: 4:00 AM
Istituti Biologici Blocco A - Biblioteca Meneghetti - Informatica Biologici [ - ] Simone Accordini Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model
Wednesday 12 June 2024
14:00 - 18:00
Duration: 4:00 AM
Istituti Biologici Blocco A - Biblioteca Meneghetti - Informatica Biologici [ - ] Simone Accordini Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model

Faculty

A B C D E F G M N P R S T Z

Ausania Francesco

symbol email francesco.ausania@univr.it symbol phone-number 0458127455

Bontempi Pietro

symbol email pietro.bontempi@univr.it symbol phone-number +39 045 802 7614

Bortolotti Federica

symbol email federica.bortolotti@univr.it symbol phone-number 045 8124618

Boschi Federico

symbol email federico.boschi@univr.it symbol phone-number +39 045 802 7272

Calderan Laura

symbol email laura.calderan@univr.it symbol phone-number 0458027562

Carta Angela

symbol email angela.carta@univr.it symbol phone-number +39 045 812 8270

Cazzaniga Stefano

symbol email stefano.cazzaniga@univr.it symbol phone-number +39 045 8027075

Cisterna Barbara

symbol email barbara.cisterna@univr.it symbol phone-number +39 045 802 7564

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

D'Onofrio Mariapina

symbol email mariapina.donofrio@univr.it symbol phone-number 045 802 7801

Enrichi Francesco

symbol email francesco.enrichi@univr.it symbol phone-number +390458027051

Favretto Filippo

symbol email filippo.favretto@univr.it symbol phone-number 045 802 7865

Gottardo Rossella

symbol email rossella.gottardo@univr.it symbol phone-number 045 8124247

Malatesta Manuela

symbol email manuela.malatesta@univr.it symbol phone-number +39 045 802 7569

Manfredi Riccardo

symbol email riccardo.manfredi@univr.it symbol phone-number +39 045 802 74 89

Munari Francesca

symbol email francesca.munari@univr.it symbol phone-number +39 045 802 7920

Nardon Chiara

symbol email chiara.nardon@univr.it

Perduca Massimiliano

symbol email massimiliano.perduca@univr.it symbol phone-number +39 045 8027984

Piacentini Giorgio

symbol email giorgio.piacentini@univr.it symbol phone-number +39 045 812 7120

Piccinelli Fabio

symbol email fabio.piccinelli@univr.it symbol phone-number +39 045 802 7097

Porru Stefano

symbol email stefano.porru@univr.it symbol phone-number Diretto 045 812 4294 - Segreteria 045 802 7421-7422

Romeo Alessandro

symbol email alessandro.romeo@univr.it symbol phone-number +39 045 802 7936; Lab: +39 045 802 7808

Sbarbati Andrea

symbol email andrea.sbarbati@univr.it symbol phone-number +39 045 802 7266

Speghini Adolfo

symbol email adolfo.speghini@univr.it symbol phone-number +39 045 8027900

Turrina Stefania

symbol email stefania.turrina@univr.it symbol phone-number 045/8027622

Zancanaro Carlo

symbol email carlo.zancanaro@univr.it 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

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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.

Documents

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