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Field
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initio / experimental dataset or machine-learning tight-binding DFT methods Expertise in using or developing generative tools for automation of scientific discovery Expertise in using high-performance
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postdoctoral position for individuals with expertise in automation, construction management, and occupational safety and health. As a Postdoctoral Research Associate in the Safety Innovation Integration Research
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
Tomography to verify entanglement fidelity. Strong proficiency in Python, MATLAB, or LabVIEW for automated instrument control and data analysis is expected. Preferred qualifications include familiarity with 1K
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, Eckhardt M, von Zastrow M, Krogan NJ, Hüttenhain R. An automated proximity proteomics pipeline for subcellular proteome and protein interaction mapping. bioRxiv 2023.04.11.536358. Academic environment
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, is committed to building a world-leading technological innovation platform for industrial intelligence. The center focuses on a tripartite technical system of "Equipment Automation – Operation
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applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder
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extraction and analysis of sequencing-based omics data. Experience in bioreactor configuration, inline/online sensor integration, and PID-based process control; familiarity with bioreactor automation systems
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ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology
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applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM