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atomic-layer-by layer engineer-ing of novel artificial metastable materials and interface superconductivity; (iv) studies of superconducting heterostructures, Josephson junctions, SQUIDS, nanowires, and
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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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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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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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change. Engineering and applied physics – including the design of next-generation artificial phosphors and radiation dosimeters for use in medicine and other industries. Responsibilities and qualifications
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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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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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-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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closely with the Department of Mathematics at Aarhus University. In addition, your organic chemistry skills will be instrumental in developing antioxidant artificial cells. These interdisciplinary projects
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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