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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in
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positions are closely linked, and candidates will have the opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger
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opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger project “Bringing the wild into the lab with Virtual Reality
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processes and understand their impact on survival, infection and resistance. We have developed approaches to study multiple bacterial pathogens in parallel, with a primary focus on Klebsiella pneumoniae and
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requiring initiative and judgment by applying knowledge and understanding of federal and state-level civil procedure to make informed decisions about data categorization. Aggregate and review court filings
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in
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learning frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience inscalable data processing, including the use of parallel computing, cloud platforms,and distributed systems
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across the whole spectrum of mathematical and physical sciences. How to Apply To be considered for this position, applicants must address the selection criteria below, and attach your CV (including a list