Epstein barr virus and multiple sclerosis research
Advanced analytic methods
Machine learning and -omics approaches
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This job posting is for a Postdoctoral Research Fellow position at leHACK, focusing on the relationship between Epstein-Barr Virus (EBV) and multiple sclerosis (MS). The role involves advanced data analysis and collaboration with a multidisciplinary team to enhance understanding of disease mechanisms and potential biomarkers.
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Job Summary
Contribute to the study of viral immune and autoimmune responses following Epstein Barr Virus (EBV) infection and their link to multiple sclerosis (MS).
Utilize advanced analytic methods, including machine learning and -omics, to identify patterns in host immune response associated with MS and potential biomarkers.
Collaborate with a multidisciplinary team, present research at scientific meetings, and publish in peer-reviewed journals.
Matching Summary
Match Score: 75
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This job posting is for a Postdoctoral Research Fellow position at leHACK, focusing on the relationship between Epstein-Barr Virus (EBV) and multiple sclerosis (MS). The role involves advanced data analysis and collaboration with a multidisciplinary team to enhance understanding of disease mechanisms and potential biomarkers.
**
Skills & Requirements
Must-have
Epstein Barr Virus and Multiple Sclerosis research