Job offer

European Commission; Italia; In loco; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

A temporary research opportunity at a leading institution in Italy focuses on zoonotic disease management through innovative approaches in biological sampling and analysis. The role involves using advanced laboratory techniques and predictive modeling to improve public health and veterinary practices. Candidates with a PhD in medical sciences and experience in bioinformatics are encouraged to apply.

Competenze

• Experience in biological sample collection and sequencing.
• Proficient in bioinformatics tools and techniques.
• Strong background in epidemiology and zoonoses.

Mansioni

• Select scenarios and systems for study.
• Collect biological samples from various sources.
• Conduct bioinformatics analysis of sequencing data.

Conoscenze

Bioinformatics analysis

Laboratory medicine techniques

Mass spectrometry (MALDI-TOF)

Whole genome sequencing (WGS)

Predictive modeling

Formazione

PhD in Medical Sciences or related field

Descrizione del lavoro

Organisation/Company: Alma Mater Studiorum - Universita' di Bologna

Department: DIMEVET - DIPARTIMENTO DI SCIENZE MEDICHE VETERINARIE

Research Field: Medical sciences » Other

Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)

Country: Italy

Application Deadline: 1 Jul 2025 - 12:00 (UTC)

Type of Contract: Temporary

Job Status: Other

Offer Starting Date: 1 Jan 1970

Is the job funded through the EU Research Framework Programme? No

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The activities to be carried out in the project will include:

1. The selection of scenarios and systems to be studied;
2. The collection of biological samples from animals, food, and the environment;
3. The massive sequencing (NGS) of the samples;
4. The isolation of selected pathogens and their analysis using laboratory medicine techniques such as mass spectrometry (MALDI-TOF) as well as whole genome sequencing (WGS);
5. The bioinformatics analysis of sequencing data;
6. The integrated analysis of data from different systems to develop predictive models of traditional and emerging zoonoses;
7. The incorporation of predictive models into a risk assessment model.

This research will be crucial for providing useful guidance in managing epidemics at both human and veterinary levels, improving the prevention of zoonotic diseases, and developing strategies for the responsible use of antibiotics.