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, multimedia, and related access control infrastructure at the University of Pittsburgh at Bradford and the University of Pittsburgh at Titusville. The position is responsible for the reliable operation
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply
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at: https://research.fredhutch.org/parkhurst/en.html Responsibilities The research tech will primarily carry out an independent research project that involves cell biology, developmental genetics, and
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engineering and anomaly detection to improve data quality and reliability. This includes developing and implementing data validation and verification procedures to identify and mitigate potential errors
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& Services Department. Lead and develop an internal team focused on Energy Systems management and innovation. Oversee campus resources to ensure the reliable and efficient delivery of heating and cooling
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and implement quality control measures and inspection protocols to ensure reliability and performance of battery cells. Collaborating with cross-functional teams to address quality issues and implement
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communication and strong organizational skills Valid driver’s license and reliable vehicle with required liability insurance for job-related travel Must be available to work a flexible schedule including nights
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at large. https://nrc.canada.ca/en/support-technology-innovation/make-your-mark-become-industrial-technology-advisor Screening criteria Applicants must demonstrate within the content
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, such as protocol worksheets, procedural manuals, adverse event reports, institutional review board documents, or progress reports. Must have reliable transportation as this position requires travel
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 23 days ago
national and international projects like LUMI AI Factory and Czech AI Factory projects. Your role will involve developing innovative AI applications and agentic solutions, researching AI reliability and bias