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) and foundation models for biomedical research Electronic Health Record (EHR) analytics and clinical data integration Biomedical image analysis and quantitative microscopy High-performance computing
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. Susquehanna's proprietary datasets and computing infrastructure - including a rapidly growing cluster of thousands of high-end GPUs - support computationally intensive training, simulation, and rapid
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and graduate research assistants, and presenting at design reviews and project milestones. Conducts benchmarking and performance evaluation of LLM serving and agentic workflows on high-performance GPU
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<span lang="en">TU Berlin</span> | Berlin, Georgia | United States | about 18 hours ago
business engineering. Its research particularly focuses on distributed machine learning, edge computing, and distributed trust.
Your Tasks
- Conducting independent and high
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access to best-in-class financial data and high-performance computing resources * Directly impact real-time trading performance through your work * Thrive in a collaborative, intellectually rigorous
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transformative advances across different fields. By joining us, you stand to gain extensive support unlocking your career potential. You'll have access to state-of-the-art facilities and high-performance
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-using models, retrieval systems, or related AI systems Experience with large-scale datasets, distributed training, or high-performance computing environments Interest in scientific applications of AI
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, contrastive learning, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical
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engineers • Coordinate with front-end developers to ensure high-performance user experience Development: • Front-end and Server-side components of the web applications
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to high-performance workstations and GPU resources for training large-scale models. Mentorship from experts in both atmospheric modeling, meteorology and machine learning. Access to a collaborative