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Field
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supercomputer. The role includes developing and advancing open-source software for large-scale hyperparameter optimization (HPO), neural architecture search (NAS), and Bayesian optimization on distributed HPC
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. The applicant is also expected to take part in collaborations at both local and global scales, and take leadership roles through the Thermal Ecology Alliance (e.g., managing globally distributed experiments
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competitive salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education
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, embedded systems, mechatronics, processes and industrial systems, telecommunications, networks, transport and vehicles, operational safety and security, human-computer interaction, linguistic engineering
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industrial systems, telecommunications, networks, transport and vehicles, operational safety and security, human-computer interaction, linguistic engineering, physiology and biomechanics, etc. Due
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simulation tasks. Develop and maintain HPC-ready software workflows for distributed training, large-scale inference, scalable data ingestion, and data management on leadership-class computing systems and
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organoids, and multicolor flow cytometry. Develops proficiency in career skills, including writing, public speaking, networking, and critical evaluation of scientific literature. Presents scientific work both
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predictive maintenance in chemical plants. Key Responsibilities: Create and implement hybrid AI models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks
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-design the power stage and its insulation system for safe MV operation, using FEM analysis of electric-field distribution, dielectric stability, and breakdown to guide topology selection, dv/dt management
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 7 days ago
. Description: Atmospheric ozone is multi-faceted in that it is protective or harmful to life on Earth depending on its proximity to life. Thus, it is very important to accurately know the vertical distribution