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, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the opportunity
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from experimental systems biology assays (PMID:36217030 [Nature Biotechnology 2024 & 2023 [Journal Cover]), artificial intelligence (PMID:35411337 [Nature Machine Intelligence 2022]), genomics and
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for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated postdoctoral
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Artificial Intelligence of the Austrian Academy of Sciences is to transform the way life sciences are conducted using AI to drive the biological revolution in the next decade, with the ultimate goal
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together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI
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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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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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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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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