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for performance, cost-efficiency, and low-latency inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions
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Deadline 2 Feb 2026 - 23:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 36.25 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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of the Beethoven program to educate top talent and strengthen research across the fields of Science, Technology, Engineering, and Mathematics (STEM). Where to apply Website https://www.academictransfer.com/en/jobs
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Television-0912 Description of Work: Responsible for overseeing all freight and mail operations for Nebraska Public Media. This position manages the receipt, processing, and distribution of incoming deliveries
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Posting Details Position Details Title Lecturers, Health Informatics Appointment Status Non-Tenure Track Department IU Indianapolis Department of Biomedical Engineering and Informatics – Luddy
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: 86971BR Incumbent decontaminates, operationally checks, assembles, and distributes surgical instrumentation, implants, supplies, and equipment for the OR, Nursing Units, and Ancillary Departments. Incumbent
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: 86966BR Incumbent decontaminates, operationally checks, assembles, and distributes surgical instrumentation, implants, supplies, and equipment for the OR, Nursing Units, and Ancillary Departments. Incumbent
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, test availability, specimen requirements and distribution of patient specimens for laboratory testing by Regional Pathology Services (RPS). Manages information pertaining to patient specimens, and
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opportunity. Subject description Computer Science includes research on algorithms, data structures, computing models and software engineering for the development of resource-efficient, distributed and
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reporting of outreach laboratory specimens directly impacting patient care: specimen handling, proper specimen storage, test ordering, test availability, specimen requirements and distribution of patient