19 algorithm-development-"the"-"The-Netherlands-Cancer-Institute" positions at Stanford University
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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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and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses
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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data
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elements with 21,000 genes in thousands of cell types in the human body. The Engreitz and Kundaje Labs have developed new experimental approaches and computational methods that could enable mapping
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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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intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem-solving. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms
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fluency in both spoken and written English Familiarity with machine learning, information theory and signal processing. Experience with algorithm development Familiarity with basic molecular biology
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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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(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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communicate by flexibly reasoning about what other agents know and want. Recently, we have been exploring how this framework of inferential social learning can be applied to develop socially intelligent