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. Working collaboratively with clinical anesthesia staff, GPU nursing and multiple referring BCH specialty providers. Communicating necessity, preparation, nature, and anticipated effects of anesthesia
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Specific Integrated Circuits (ASIC), Processors (CPU, GPU, VPU and accelerators), Field Programmable Gate Arrays (FPGA) and System-on-Chips (SoCs), as well as Intellectual Property (IP) Core developments for
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. Working collaboratively with clinical anesthesia staff, GPU nursing and multiple referring BCH specialty providers. Communicating necessity, preparation, nature, and anticipated effects of anesthesia
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maintain multiple GPU clusters and networked storage systems. Monitor system performance, troubleshoot hardware issues, and coordinate repairs or upgrades in collaboration with Temple ITS. Oversee the lab’s
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infrastructure, and GPU/CPU cluster environments. This role leads and mentors a team of Systems Engineers and Administrators while remaining deeply technical and hands-on, actively designing, deploying, and tuning
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-aligned Intelligence and Novel Exploration) group (Prof. I. Bogunovic) at the Department of Mathematics and Computer Science, University of Basel, is inviting applications for multiple PhD positions in
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unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
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extreme scenarios. Your tasks: Conduct security and resilience studies for highly stressed systems (e.g., multiple faults, high renewable shares, or equipment failures). Evaluate system vulnerabilities and
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. Working collaboratively with clinical anesthesia staff, GPU nursing and multiple referring BCH specialty providers. Communicating necessity, preparation, nature, and anticipated effects of anesthesia
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in high-performance computing systems, storage and I/O. Extensive knowledge on parallel file systems, GPUs, and their trends. (more than 3 years of working with these systems) Experience with