Sonali Chaturvedi
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Postdoctoral Scholars in Functional Genomics, Computational Systems Biology, and Machine Learning at University of California, Riverside University of California, Riverside in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Competitive salary and comprehensive UC benefits are offered. The postdoctoral positions are described as supported within a collaborative academic lab environment.
Country
United States
University
University of California, Riverside

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About this position
Sonali Chaturvedi’s lab at the University of California, Riverside is recruiting two Postdoctoral Scholars in Functional Genomics, Computational Systems Biology, and Machine Learning for Biology.
The lab studies how complex biological networks make decisions and how those decisions can be reprogrammed for therapeutic impact. Research integrates single-cell functional genomics, transcriptomics, synthetic biology, and advanced computational modeling to investigate transcriptional dysregulation in disease and host–pathogen interactions.
One postdoc will focus on mechanistic and data-driven models of cellular decision-making using large-scale single-cell transcriptomic and functional genomics datasets, working with experimental collaborators to infer gene regulatory programs and build predictive systems-level models. The second postdoc will focus on machine-learning-based modeling of cellular systems, including predictive models and digital twins of cells using deep learning, representation learning, and probabilistic modeling.
Applicants should hold a PhD in computational biology, systems biology, machine learning, bioinformatics, or a related field, and should have strong experience with single-cell transcriptomics and ML-based analysis. The lab highlights a collaborative, interdisciplinary, and supportive environment with strong mentorship, professional growth opportunities, competitive salary, and comprehensive UC benefits.
To apply, email your CV to [email protected].
Funding details
Competitive salary and comprehensive UC benefits are offered. The postdoctoral positions are described as supported within a collaborative academic lab environment.
What's required
Applicants should have a PhD in computational biology, systems biology, machine learning, bioinformatics, or a related field. Strong experience in single-cell transcriptomics and ML-based analysis is expected, along with a passion for model building and interdisciplinary collaboration.
How to apply
Email your CV to [email protected]. The post asks interested applicants to contact the lab directly by email.
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