65 algorithms-phd "INSAIT The Institute for Computer Science" Postdoctoral 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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(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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. 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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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-seq, spatial transcriptomics
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scientists. Candidates with experience in prototyping, optical instrumentation, image processing, or translational device development are particularly encouraged to apply. Required Qualifications: PhD in
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skills, expertise, and perspectives necessary to design, conduct, sustain, and disseminate public impact research. We encourage applications from individuals from a broad diversity of PhD-granting
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prefixed by the word “quantum.” Eligibility: For consideration, candidates must have completed a PhD degree prior to their tentative appointment date. The fellowship is open to US citizens or international
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of cancer immunotherapy and beyond. Required Qualifications: The post-doctoral fellow candidate is required to have obtained an MD, PhD, or MD/PhD in areas of cell biology, biochemistry, molecular biology, or
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together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a