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of cognition using Neuropixel and other high-contact number probes in the cortex and hippocampus in human neurosurgical patients. High-density electrodes for the study of intracranial neural recordings provides
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→ cell → patient Integrate multi-modal data (genomics, transcriptomics, biosensors, EHR) Perform single-cell and spatial multi-omics analyses at scale Lead high-impact publications and contribute
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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-oriented, technically proficient researcher. Training will be provided. The successful candidate will be tasked with maintenance and operation of the COMET instrument, optimizing antibody concentrations
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to develop robust, scalable data analysis and predictive classification workflows for high-performance computing environments. Contribute to JGI strategic milestones related to AI-driven functional genomics
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representative to the Board of Advisors, alumni, donors, and industry leaders. Build and sustain high-level partnerships across journalism, business, and philanthropy. Represent the program in senior-level
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to computational materials, mechanics, or related fields Proven ability to work collaboratively in an interdisciplinary research environment and mentor graduate students. Experience with high-performance computing
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
Acceptable Education & Experience: A Ph.D. in Applied Mathematics, Physics, Mechanical/Aerospace Engineering, or Atmospheric or Oceanic Science, with a focus on Fluid Dynamics Experience in high-performance
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 6 days ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop
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Programming Systems R&D: Contribute to DOE goals of enabling performance‑portable high‑productivity languages (Python/Julia/Rust) and evaluate the emerging role these languages and frameworks within scientific