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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 6 days ago
of memory and cognitive impairment in early-stage neurodegenerative disease, particularly through naturalistic, translational research approaches Experience with (f)MRI data analysis; prior
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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in the mentorship of graduate and undergraduate students, providing guidance on experimental techniques, data analysis, and project development. Contribute to grant writing, including assisting in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
statistical analysis, qualitative data analysis, and interpretation and publication of study findings. In addition, the postdoc will develop their own research questions related to their fellowship and will
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, viability and biological function. The work will require rigorous experimental design, appropriate controls and benchmarks, statistical analysis, traceable data and predefined acceptance criteria. The role
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experimental design, modelling, programming, or multivariate data analysis, experience in process development and pilot-scale trials involving membrane and/or food processing technologies, experience
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. Collaborate with an interdisciplinary group of universities, research organisations, system operators, energy companies, technology providers, and data centre operators. Participate in data collection, analysis
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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into a book, this is not one of them. The Postdoctoral Associate should be prepared to put their dissertation project on the backburner and dive into new data collection. Dr. boyd’s philosophy is that
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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