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information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both
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areas of energy, infrastructure, environment, materials, and chemistry and process engineering. The project aims to develop a digital twin (DT) for predicting and managing corrosion and microbially
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conferences In-depth experience and knowledge in digital image processing and analysis Solid experience in other material characterization techniques Experience in the design and implementation of experimental
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Postdoctoral Research Fellow in Cancer Immunology Sylvester Comprehensive Cancer Center & Department of Surgery, Miller School of Medicine, University of Miami A postdoctoral research position is
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collected from the fields of different spatial scale and use and process digital data. We expect that you will be an important part of the research environment and that you will contribute positively
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research on memory and behavior is how the brain responds to environmental stimuli, and a major challenge here is the heterogeneity of cell-signaling pathways, brain cells and neural networks. We study
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
? Comprehensive Postdoctoral Training: This collaborative project presents an outstanding platform for comprehensive training in an array of advanced methodologies such a next-generation sequencing, droplet digital
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Process To apply for the MPG-WIS Joint Postdoctoral Program, please follow the application guidelines below: Contact researchers at MPG (see list of institutions ; https://www.weizmann.ac.il/sites/mpg-wis
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information systems engineering. The group conducts research on the application and the impact of digital technologies on organisations in the private and public sectors. Our team consists of international
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify