Cristian Pattaro
1 month ago
Postdoctoral Researcher in Multi-Omics and Causal Inference Eurac Research in Italy
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
Italy
University
Eurac Research

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
About this position
Postdoctoral Researcher in Multi-Omics and Causal Inference at Eurac Research
Eurac Research is advertising a Postdoctoral Researcher position focused on multi-omics, causal inference, and molecular traits in large datasets. The role is associated with the research group led by Cristian Pattaro, Research Group Leader in Genetic Epidemiology & Biostatistics.
This opportunity is aimed at researchers interested in developing and applying statistical and computational models to biological and biomedical data. The post highlights work on causal inference models for molecular traits, suggesting a strong fit for candidates with backgrounds in statistics, biostatistics, genetic epidemiology, biology, and related computational methods.
The appointment is for nearly 3 years and is based in the Dolomites region in Italy, at Eurac Research. No specific deadline, salary, or funding breakdown is provided in the post excerpt, but this is a formal paid postdoctoral research opening rather than a scholarship.
Interested candidates should follow the Eurac Research job posting and get in touch with the group. The application portal is linked in the post.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.