XenOmics – An Innovative Risk Assessment Toolkit Based on Omics Methodologies and Artificial Intelligence for Occupational Safety
Organisation/Company Dipartimento di Scienze biochimiche Alessandro Rossi Fanelli Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 15 Nov 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
È questo il suo prossimo lavoro? Legga la descrizione completa qui sotto per scoprirlo e non esiti a candidarsi.
Offer Description
The research aims to study Machine Learning (ML) strategies for the integration of omics and environmental data, the identification of potential biomarkers,
and the development of a predictive model for toxicological risk
- Other qualifications related to the activity performed, such as research/work contracts, scholarships or fellowships, and official assignments: up to 25 points
- Interview: up to 40 points
- Italy
Eligibility of fellows: xysqume country/ies of residence:
- EUROPE
Eligibility of fellows: nationality/ies:
- EUROPE
Selection process
The interview will center on verifying the candidate's competencies in statistical data analysis and machine learning, alongside scientific programming in Python.
È questo il suo prossimo lavoro? Legga la descrizione completa qui sotto per scoprirlo e non esiti a candidarsi.
Offer Description
The research aims to study Machine Learning (ML) strategies for the integration of omics and environmental data, the identification of potential biomarkers,
and the development of a predictive model for toxicological risk
- Other qualifications related to the activity performed, such as research/work contracts, scholarships or fellowships, and official assignments: up to 25 points
- Interview: up to 40 points
- Italy
Eligibility of fellows: xysqume country/ies of residence:
- EUROPE
Eligibility of fellows: nationality/ies:
- EUROPE
Selection process
The interview will center on verifying the candidate's competencies in statistical data analysis and machine learning, alongside scientific programming in Python.