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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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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here
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. Further details about the project, eligibility and application process can be found in the Further Information document. PhD studentship: Recording nature and writing the self: time, entomology and the
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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affect plant performance across environments. The project follows an integrated experi-mental approach across laboratory, greenhouse, and field scales, combined with advanced phenotyping and data-driven
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stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will develop mixed-methods expertise and join Dr
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-time Research Assistant (RA) wanted for an exciting, large-scale project in the laboratory of Professor Randy Buckner. Job-Specific Responsibilities: The RA's primary responsibilities include: (1) data
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Master’s degree in a relevant scientific field, such as soil science, environmental science/chemistry, ecology, or agronomy. Strong academic record in statistics and data analysis. The following experiences