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connectivity, web performance and accessibility, network measurement, mobile systems, and technologies for connecting underserved populations. We are seeking an outstanding researcher who already has a
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science, psychology, economics, political science, social research, engineering, and the humanities; High-performance computing, GPU-enabled workflows, large-scale data processing, research storage, and technical
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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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phenotypes, and high-performance computing infrastructure. Applicants must hold a PhD in human genetics, genetic epidemiology, biostatistics, computational biology, or a related field, with a strong
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy
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medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with
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. The Post-Doctoral Associate will be expected to: Perform and interpret geotechnical laboratory tests to support the experimental program. Plan, design, conduct, and analyze centrifuge model experiments
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performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal
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related field Excellent reacting flow multi-physics computation experience in high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability
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Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES), together with the Division of Engineering, Civil and Urban Engineering Program, at NYU