69 parallel-and-distributed-computing Postdoctoral research jobs at Stanford University
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connections between the lab, classroom, and society. Required Qualifications: Highly motivated postdoctoral researcher with extensive experience with item response theory models, computer adaptive testing, and
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and experimentalists working across species as part of SCENE The Tolias Lab fuses large‑scale systems neuroscience with machine learning to derive principled models of cortical computation. Our newly
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second project uses a mobile crowdsensing system and computer vision techniques to identify neighborhood environmental features and their relationships with community and resident wellbeing with an initial
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-project comparison. Supporting this program—and this position—are NIH awards under NIMH’s priority initiative, Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT
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that the postdoctoral fellow is able to establish some projects for subsequent publication or contribute to the creation of a new research program. The postdoctoral fellow will contribute to one or more of the projects
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factors specific to residual specimens in laboratory medicine. The ideal candidate has the quantitative and computational background to analyze sequencing, high dimensionality data, and be efficient with
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, genomics, molecular biology, computational biology, or a related field Hands-on wet-lab experience with sequencing-based assays (RNA-seq, single-cell genomics, or related methods) Experience working with
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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within
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culture and mouse modeling experience. Previous expertise in immunology and cellular therapy assessment is desired. Some computational experience would be helpful, but is not required. The candidate is