XenOmics - An Innovative Risk Assessment Toolkit Based on Omics Methodologies and Artificial Intelligence for Occupational Safety
pOrganisation/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 /ph3Offer Description /h3pThe 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 /pulliOther qualifications related to the activity performed, such as research/work contracts, scholarships or fellowships, and official assignments: up to 25 points /liliInterview: up to 40 points /li /ululliItaly /li /ulpbEligibility of fellows: country/ies of residence: /b /pulliEUROPE /li /ulpbEligibility of fellows: nationality/ies: /b /pulliEUROPE /li /ulh3Selection process /h3pThe interview will center on verifying the candidate's competencies in statistical data analysis and machine learning, alongside scientific programming in Python. /p #J-18808-Ljbffr
- 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 /ph3Offer Description /h3pThe 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 /pulliOther qualifications related to the activity performed, such as research/work contracts, scholarships or fellowships, and official assignments: up to 25 points /liliInterview: up to 40 points /li /ululliItaly /li /ulpbEligibility of fellows: country/ies of residence: /b /pulliEUROPE /li /ulpbEligibility of fellows: nationality/ies: /b /pulliEUROPE /li /ulh3Selection process /h3pThe interview will center on verifying the candidate's competencies in statistical data analysis and machine learning, alongside scientific programming in Python. /p #J-18808-Ljbffr