87 high-performance-computing Postdoctoral positions at Stanford University in Ireland-University-Ranking-2024
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refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high‑performance computing cluster offer an unmatched playground for ambitious science. Key Responsibilities • Design, execute, and analyse
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and reproducible workflow management. Experience working comfortably at scale: large and unwieldy data frames, high-performance computing clusters or cloud compute, and workflows that must run reliably
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. Cell Division We study the biochemical logic that ensures high-fidelity chromosome segregation during mitosis. The key molecular components are known, but how they are assembled, regulated, and
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to candidates with strong training in metabolism or adipose biology, neuroscience, genomics, physiology, molecular biology, computational biology, or a related field, who are eager to build an interdisciplinary
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, renewable for up to 1 additional year based on performance and funding. Appointment Start Date: Fall 2027 Group or Departmental Website: https://oceanpolicy.stanford.edu/(link is external) How to Submit
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motivated and skilled postdoctoral researcher to lead projects related to PhacoTrainer—computer vision models for cataract surgical video recognition. Project themes will include validating PhacoTrainer
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, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis are encouraged to apply. The position is available
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. Xiaojie Qiu (Genetics & Computer Science)(link is external) and Dr. Matteo Molè (Obstetrics & Gynecology)(link is external) . Our goal is to explore the “black box” of early human pregnancy by mapping
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are seeking motivated individuals wanting to make a difference in understanding brain autoimmunity and seeking to publish high impact publications in this growing field of interest. We work on the immunology
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-disciplinary approach spanning human genetics, computational biology, genomics, genetics, pharmacology, and biochemistry. By integrating human population-scale data with experimentally tractable model systems