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to experimentally derived disorder models and data from methods such as total scattering/pair distribution function analysis, diffuse scattering, diffraction, solid-state NMR and electron microscopy. Work closely
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will contribute to the design and conduct of clinical trials, consumer and stakeholder co-design, implementation activities, data analysis, and dissemination of research findings. There will be
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research activities, you will contribute to ongoing projects within the Brightlands Future Farming Institute (BFFI) and collaborate across disciplines in areas such as data acquisition and analysis
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
closely with the principal investigator for PIK’s part of the project, Prof. Dr. Elmar Kriegler. Contribute to the development and analysis of sustainable development pathways and international climate
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providing guidance on experimental processes and techniques, data analysis, and research methodologies. Collaborate with research colleagues and actively develop internal and external networks relevant
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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research
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is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators in
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or integrating control algorithms into physical testbeds Knowledge of predictive maintenance methods and anomaly detection techniques for complex systems Experience with sensor networks, IoT platforms, or real
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and qualifications Expertise in advanced machine learning, deep learning and image vision techniques with focus on EO data (e.g. deep convolutional neural networks, transformers, deep learning based
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at the University of Arizona and relocations services, please click here . Duties & Responsibilities Carry out experiments independently to determine dysregulation in RNA binding protein network and