Development and applications of machine learning methods for the integrative analysis of immunological data induced by vaccination
18 Apr 2026
Job Information
- Organisation/Company
Università degli Studi di Siena- Research Field
Medical sciences » Medicine- Researcher Profile
Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)- Application Deadline
27 Apr 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?
Horizon 2020- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The candidate will be responsible for the development and application of advanced machine learning techniques, including deep learning approaches, aimed at identifying complex patterns of host immune responses to vaccination. The research activities will also include the integrative analysis of immunological, clinical, and omics data derived from clinical studies, with the goal of generating predictive models of vaccine-induced immune responses.
The project requires expertise in the use of bioinformatics tools for the processing and interpretation of gene expression profiles, using RNA-seq technologies and software for differential expression analysis, as well as knowledge in the field of systems vaccinology. The candidate will also be involved in the development of mathematical and statistical models to optimize vaccination strategies.
Requirements
Additional Information
Eligibility criteria
Eligible destination country/ies for fellows:
- Italy
Eligibility of fellows: country/ies of residence:
- EUROPE
Eligibility of fellows: nationality/ies:
- EUROPE
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Università degli Studi di Siena
- Country
- Italy
- Geofield
Contact
- City
Siena- Website
https://www.unisi.it
STATUS: EXPIRED
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