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analytics to accelerate vaccine discovery. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high
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, or population genetics Deep learning for sequence, EHR, or imaging data High-performance and GPU computing environments Excellent candidates from adjacent quantitative fields are encouraged to apply. The Research
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used to improve the operation of cryoSTEM microscopes when applied to biological samples. Parallel Model Training: Deploy parallel computing systems for training large-scale cryoSTEM foundation models
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their data pipeline. These foundation models will be used to improve the operation of cryoSTEM microscopes when applied to biological samples. Parallel Model Training: Deploy parallel computing systems
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results in a robust biological context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing environments Collaborate closely with experts in
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high-dimensional immunological and clinical datasets generated
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: Postdoctoral Researcher - Electrical and Computer Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 204
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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engineering, environmental engineering, applied mathematics, and computational science. Access to state-of-the-art computational infrastructure and high-performance computing resources. Opportunities