We are recruiting a highly motivated and independent Postdoc candidate with experience in next-generation sequencing data analysis, computational genomics, medical statistics, imaging analysis, and/or computational biology. The project combines single-cell, multi-omic data with large scale human genetics to investigate the cellular origin of amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD) and Alzheimer’s disease (AD). Our recent work (Månberg et al. Nature Medicine 2021) showed that vascular and glial cells contribute to the dynamics of neurodegeneration and this project will aim to refine our understanding of cellular mechanisms, biomarkers and genetic risk of ALS, FTD and Alzheimer’s disease. The postdoc candidate will work closely with researchers in the team as well as with our collaborators and be responsible for data analysis, visualization, and development of new computational methods for processing and analysis of large-scale omics data. We welcome applications from candidates with pure computational background and those combining experimental and theoretical approaches.
Advertisement link at the Karolinska Institute jobs portal: https://ki.varbi.com/en/what:job/jobID:521783/ DM me for specific questions.
Is this postdoc position could be remote? Than you for your time.
“Apply Machine Learning Algorithms for Genomics Data Classification”. Ernest Bonat, Ph.D., Bishes Rayamajhi, MS. February 03, 2021. https://ernest-bonat.medium.com/apply-machine-learning-algorithms-for-genomics-data-classification-132972933723
“Web Deployment of Genomics Machine Learning Models Using Flask Web Framework”. Ernest Bonat, Ph.D., June 18, 2022. https://ernest-bonat.medium.com/web-deployment-of-genomics-machine-learning-models-using-flask-web-framework-25db0526bca5
We would prefer the candidate to interact to some extent with the rest of the group.