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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and optimize therapeutic strategies, and (2) developing AI
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based electrophysiology laboratory for awake mouse studies, including microfabrication, electrode integration and optimization of laboratory best practices. At least 3 years of experience with
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for personalizing either Ti6Al4V, CP Ti, or SS 316 alloy fixation plates. This person will assist a HAMMER GRA implement feedback between Virtual Surgical Planning (VSP) that includes device design and optimized
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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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spatial transcriptomic data using R or Python; interprets findings in the context of transplant immunobiology. Establishes new research protocols and procedures: Develops and optimizes protocols
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protocols of interest are 61, 62 (bioburden testing), 71 (sterility testing), and 85 (bacterial endotoxin testing). The researchers will be asked to optimize lab-specific protocols and run the protocols at a
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School of Medicine. The project will focus on optimization of peptide ligands targeting promising cancer antigens followed by subsequent radiolabeling and pre-clinical validation. The Beinat lab employs
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to optimize lab-specific protocols and run the protocols at a larger scale for prototype testing. The candidate is also expected to perform the biological testing detailed in the aforementioned protocols in
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an optimal AI approach to quality control of water level observations collected by tide gauges. Develop new AI based methods for bad data detection, gap filling, assessing and documenting performance
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accelerator physicists and engineers, the position requires tackling these challenges by applying machine learning techniques to accelerator tuning and control. You will study beam-based diagnostics to optimize