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systems, mathematical optimization, machine learning, or data science. Montana State University is a land-grant institution committed to achievement in research. The Department of Mathematical Sciences has
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personalized attention for optimal student engagement in a residential setting with opportunities for a variety of transformational experiences through experiential learning. The university's beautiful and
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solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
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well-integratedwithin the TU/e landscape. Where to apply Website https://www.academictransfer.com/en/jobs/358778/senior-full-stack-data-engineer… Requirements Specific Requirements A strong background in
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 days ago
applications, · test and optimize the developed software, · work in the team under national and international projects, · collaborate on publication activities of research outcomes. Full time equivalent: 1,0
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science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es
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. Duties include: Organize and run the N-STORM super-resolution system and the A1 confocal system; teach the PBS neuroscience community for super-resolution and confocal microscopy use; optimize
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About the Opportunity JOB SUMMARY The Associate Vice President - Infrastructure leads several teams to ensure optimal performance, availability and scalability of Northeastern University’s IT
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postpartum visits following fetal intervention or delivery. Partner with program leadership to develop, refine, and evaluate clinical workflows that optimize care delivery and patient experience. Provide
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, version control processes, and documentation to support maintainability, reliability, and long-term scalability across environments. 2. Build, optimize, and maintain scalable data pipelines Design, develop