428 data-"https:" "https:" "https:" "https:" "https:" "University of Minho" research jobs at Nature Careers
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research in focused ultrasound therapy, aiming to achieve breakthroughs in acoustic physics, ultrasound biology, multimodal imaging, intelligent treatment, and clinical big data. Our mission is to develop
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products. CDRH provides consumers, patients, caregivers, and providers with understandable and accessible science-based information about products. CDRH facilitates medical device innovation by advancing
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: Lead unbiased, data-driven integration of: Spatial transcriptomics data Genomic alteration profiles (copy number alterations, SNVs) Histopathological diagnoses and clinical metadata Radiomic features (in
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of scientific publications and participation in international conferencesContribution to teaching activities and academic engagement For more information and details about proposed research topics, please contact
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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research results to various communities and a wider public Academic self-administration For questions and further information, please contact Your profile PhD in Inclusive education, with a focus on at least
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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets