12 high-performance-quantum-computing-"https:"-"https:"-"https:" Postdoctoral positions at Stanford University
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performing neuro-behavioral and/or neuro-physiological experiments, including visual stimulus design, eye tracking, MRI or large-scale electrophysiology techniques (ideally Neuropixels). Additionally
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, single cell and multi-omics data analysis, and a high-performance computing environment (Unix/Linux) is highly preferred. An individual with Next generation sequencing experience is preferred. A good
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the scope and impact of our studies. Current research themes include: The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients Computer vision analysis
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key
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appointment will be for one year, with renewal contingent upon performance. Appointment Start Date: Flexible (June 2026 - Oct 2026) How to Submit Application Materials: Interested candidates should submit
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: The position is for one year with the potential for annual renewal, contingent on programmatic needs, performance, and funding. Appointment Start Date: January 2026 with flexibility How to Submit Application
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Appointment Term: This postdoctoral position is for one year, with the possibility of renewal based on performance. Appointment Start Date: September 2026 How to Submit Application Materials: Submit all
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genomics and single-cell spatial transcriptomics, participate in T cell-targeted therapy development, hone their computational, leadership, communication, and funding acquisition skills, and join the vibrant
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alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or equivalent degree from an epidemiology, biostatistics, data science, computer
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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