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Field
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position is time-limited to 3 years and connected to the research activities on the topic of the role of Artificial Intelligence (AI) for firm innovation. A diverse set of factors will be analysed within
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artificial intelligence for advanced modeling and analysis. The successful candidate must be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex
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and spatiotemporal scales, i.e., new forms of real-time automation of intelligent active grids including grid-forming converters, using distributed control and artificial intelligence (AI) based
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of coatings formulation both through deterministic mathematical models and through use of artificial intelligence. Responsibilities and qualifications Your overall focus will be on strengthening
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-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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for Artificial Intelligence. Strong demonstrated programming skills including Python or other similar languages. Ability to work independently, prioritize tasks, and deliver results in a timely manner. Assess and
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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-year fellowship in Artificial Intelligence (AI) driven plant genomics. The project focuses on generating new AI-driven method for identification, annotation and functional investigation of long non
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Computer Science, Artificial Intelligence, Cybersecurity, or related fields Expertise in AI and ML applications for cybersecurity and threat analysis Knowledge of supply chain security challenges and
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Posted on Tue, 03/04/2025 - 15:24 Important Info Deprecated / Faculty Sponsor (Last, First Name): Vitercik, Ellen Stanford Departments and Centers: Human-Centered Artificial Intelligence Postdoc