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on quantitative methods such as applied simulation, big data, artificial intelligence, and machine learning as well as an ability to apply such skills to interventions research, field experiments, and
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including postdocs, PhD, MSc and undergraduatestudents. Our research focuses on thegene regulatory networks that control the development and plasticity of fat cells. Furthermore, we are investigating
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expected to provide outstanding education, supervise bachelor, master and PhD level students. Candidates for this position must have a solid education that enables them to teach within (at least one
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or sensory biology is required and a PhD degree or similar is an advantage. Prior experience with machine learning, acoustic analysis, image analysis, stereo video 3D reconstruction, signal processing and
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. The candidates will be responsible for collaboratively building up the area of supply chain digitalisation with a primary focus on data governance, artificial intelligence, and applied machine learning. Successful
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with the section's work, covering a wide array of specializations in advanced electronic systems. These include FPGA and neuromorphic computing, Edge AI, machine learning, sensing, and energy harvesting
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Statistics section The members of the Data Science and Statistics section cover a wide range of data science topics. Central research interests are data mining and data visualization, machine learning and