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. aureus single mutants in macrophages, using f luorescence microscopybased infection assays, followed by automated image analysis; validation of the intracellular prof iles of S. aureus mutants selected
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
will lead research on developing automated, high throughput organ-on-chip platforms for evaluation of antibody therapeutic pharmacokinetics and safety. Fundamental to this work, the fellow will be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
will lead research on developing automated, high throughput organ-on-chip platforms for evaluation of antibody therapeutic pharmacokinetics and safety. Fundamental to this work, the fellow will be
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is
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. These projects span topics including the relationship between food production, environmental impact, and human health, as well as developments in agricultural robotics and automation. This environment offers broad
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screening, and automated experimentation to accelerate materials discovery and optimization. The researcher will work across the groups of Prof. José Berrocal and Prof. Carla Casadevall at ICIQ and interact
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. Experience with flow NMR, laboratory automation, instrumentation design, and/or instrument fabrication. Prior experience mentoring students, trainees, or junior researchers. Special Instructions to Applicants
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photonic integrated circuits. Perform experimental testing and characterization of integrated photonic devices and systems, including automated measurement and control setups. Contribute to the development
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental