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students and technicians Maintain accurate documentation of protocols and instrument logs; liaise with service and facility management Your profile: PhD (or equivalent) in analytical/biological chemistry
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD (or foreign equivalent) in Bioengineering, Genetics, Genomics, Biomedical Engineering, Analytical Chemistry
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. Position Summary
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Postdoctoral fellow will assist the Professors by helping build a community across campus and helping supervise students working at this intersection. Teaching Fellows will teach a tutorial about AI system
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier environments. As a Postdoctoral researcher, you will
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inflammation, multi-dimensional flow cytometry, and assay development is desired. Experience with bioinformatics analysis is preferable but not essential. Applicants with good organizational and analytical
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analytical sciences. We are looking for talented people to join us. Your responsibilities include: Interdisciplinary research within the project "Complex and Competing Phenomena in Recycled Flame-retardant
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) Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data, leveraging on data analytics and machine