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, preferably using Nextflow. Collaborate with platform data scientists and researchers to develop reproducible analytical pipelines. Assist in applying machine learning and AI methods to multi-omics datasets
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sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT
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employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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high-throughput reactor systems, combined with the implementation of a visionary data management strategy, will provide a unique environment for data-rich research supported by machine learning and AI
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, Machine Learning for photonic systems, as well as Photonics in general. Your track record proves your position as an internationally recognized researcher in your field and confirms your ability to lead
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digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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transportation engineering, economics, psychology, computer science, social data science, machine learning, mathematics, and statistics. As a candidate, you should have a high potential for creative and
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modelling, advanced machine learning tools, etc. We welcome applicants with a strong academic background within engineering or applied science, whose expertise supports the development of resilient and