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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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. They will contribute to all phases of project development including conceptualization, design and implementation of algorithms, computational analysis of genomic and other omics data, simulations and testing
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Situated in Stanford's highly dynamic research environment the Curtis Laboratory (http://med.stanford.edu/curtislab.html ), led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1
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it; as well as have theoretical skills including algorithm implementation/development and data visualization. Experience and interests include designing machine learning pipelines, building web
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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, transcriptome sequencing, methylation assays, metabolomics, and/or lipidomics assays. State-of-the-art computational algorithms and new methods will be applied and developed to prioritize the variants and genes
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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into tangible products. Critically, this work will generate a large open-source dataset of child-created games that can inform future designs of educational games and AI algorithms. The postdoctoral fellow will
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the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection
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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA