63 parallel-and-distributed-computing-"Meta"-"Meta" Postdoctoral positions at Stanford University
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: Pathology Biomedical Informatics Biomedical Data Sciences Postdoc Appointment Term: 1 year (renewable) Appointment Start Date: As soon as feasible; February 2026 How to Submit Application Materials: Please
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internal equity. Pay Range: 76,383-86,383 Our lab investigates the functional principles, development, and computational properties of organism-wide circuits for brain-body interactions. We
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single-cell RNA-seq, ADT-seq, ATAC-seq, DNA
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internal equity. Pay Range: 76,383-86,383 Our lab investigates the functional principles, development, and computational properties of organism-wide circuits for brain-body interactions. We
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be distributed as open-source software to ensure reproducibility and transparency as well as supporting the extension of our approach to new domains. Required Qualifications: Doctoral degree Excellent
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shape new directions within the research program. Responsibilities: Design, fabricate, and characterize novel van der Waals heterostructure devices using Stanford’s nanofabrication facilities. Perform
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic
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therapeutics. We are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of protein biochemistry, engineering, and