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the Faculty of Forestry in the Wildlife Coexistence Lab. They will assist the Principal Investigator (Cole Burton) and WildCo postdocs and graduate students in the collection, processing, analysis
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Occasional travel may be needed to collaborate with colleagues at UCSF who are part of this project. Develop neural networks for diagnostics of heart conditions. Develop neural networks for ultrasound probe
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Cryptography for Cloud-Based File Sharing Systems Quantum-Resistant Cryptography for Network Encryptors Senetas network encryptors are specialised hardware and software appliances used to encrypt network traffic
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at Auburn University is seeking a highly motivated individual to provide professional research assistance in the area of plant microbiomes. The successful candidate will join a team (currently a postdoc
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the operating period and safety of winter roads. Less studied are the more informal transportation networks involving use of unmaintained trails on frozen lakes, rivers, ocean, and the frozen ground, which
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at Auburn University is seeking a highly motivated individual to provide professional research assistance in the area of plant microbiomes. The successful candidate will join a team (currently a postdoc
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& Veterans’ Lunch Webinar Replays Scholarships Graduate Education Scholarships Veterans’ Scholarships Arts Scholarships & Grants FAQs Alumni Alumni Network Past Scholars Event Space About Overview Governance
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an enthusiastic self-starter who enjoys driving to join the mobile research team of an NIH-funded research study. This individual will recruit people who use drugs and their network members from two different
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researchers by offering networking opportunities with fellow scientists and construction sector stakeholders, facilitating collaborative experiments and proposal development, providing mentorship from senior
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Analysis and apply today! This work will advance novel research focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine parameterization, and data