14 software-verification Postdoctoral positions at Stanford University in United States
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the robustness to address national security challenges in cybersecurity. In particular, the postdoc will focus on applying reinforcement learning to discover vulnerabilities and failure modes in software systems
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learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with GIS software and Python, strong written
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possession of other legal verification of such status) and not be supported by any other NIH grant at the time of the T32 appointment. Individuals on temporary or student visas are not eligible. Required
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and machine learning based software to assist clinical workflow and pre-clinical studies. Recent software developed from the group has been adopted in the clinic and preclinic labs. The scientific
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ability in a diverse sample of children with dyslexia and typical readers. Scientific reproducibility and transparency: Our team has a long history of developing open-source software to support rigorous
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/ljiYqBbnJkOn3jp2EpXY6g/project-details/10720073#description (link is external) (4) Develop, deploy, and evaluate software systems and data analytics to improve inpatient hospital care value efficiency. For example
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skills in statistical software (e.g. R, Stata, Python) and working knowledge in SQL Excellent written and oral communication skills Strong record of distinguished scholarly achievement, including written
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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publishing in top-tier peer-reviewed journals, contributing to open-source software, and presenting at leading scientific conferences, is essential. The successful candidate is expected to take full advantage
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: Familiarity with (NGS related) software tools and packages such as bwa, STAR, bedtools, samtools, Picard, RSEM, GISTIC, GATK, Strelka, Seurat Prior experience in analyzing spatial transcriptomic data. Prior