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Field
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mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
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for downstream analyses. Data & documentation Analyze flow cytometry and functional assay data. Document experiments and prepare figures and summaries Collaboration & development Work in an interdisciplinary team
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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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AI4TECS aims to develop the first AI‑powerAd system that integrates real‑time EC identification using non-target high resolution mass spectrometry data, toxicity prediction, and transformation modelling
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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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projects. Familiar with text or image data processing, machine learning, or data visualization tools. Long-term interest in pursuing a Ph.D. in a business-related field. Compensation and Benefits Competitive
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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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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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. 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. ... (Video unable to load
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for the AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving