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, transcriptome, functional genetics and detection/quantification in plant samples. The candidate will optimize and conduct plant sample processing, DNA and RNA extraction, concentration determination, classic PCR
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, and network optimization for 6G networks and FutureG wireless networks. Successful candidates will have the chance to work with top-notch researchers from both academia and industry on future wireless
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maintenance of AV systems to ensure optimal performance. •Train and provide technical guidance to Tier 1 Technicians and student staff. •Troubleshoot, diagnose, and resolve hardware and software issues promptly
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of the modern technical workforce. The Instrument and Facility Manager’s responsibilities will include overseeing the operation, maintenance, and optimization of the Discovery Lab’s instruments and equipment
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sequence generation or molecule extraction to data analysis and presentation and publishing). The work also includes optimizing and conducting other plant and pathogen assays that reveal the physiological
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systems. The individual will be responsible for: • Develop and implement models for the structural and mechanical performance and optimization of mass timber systems, using data-driven approaches
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organization's systems and networks to ensure optimal performance and uptime. - Conduct regular system assessments and audits to identify vulnerabilities, risks, and compliance gaps, and develop strategies
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ticket office to optimize sales, access, and patron experience. A smaller portion of the position’s portfolio supports the School of Visual Arts (SOVA), primarily promoting exhibitions and public programs
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of research publications. • Present research findings at conferences and communicate results effectively to both scientific and non-scientific audiences. • Contribute to the development and optimization
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expertise in wireless communications, communication theory, information theory, applied probability, and optimization • Excellent written and verbal communication skills Preferred Qualifications • Prior