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machine learning, and data science. By developing cutting-edge, data-driven solutions across diverse domains, AID plays a key role in shaping the future of AI.As part of this dynamic environment, the PhD
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. The consortium consists of world-class scientists with competences spanning chemistry, biochemistry, computer science, and machine learning. All fifteen doctoral candidates will work with two research groups, and
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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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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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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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Job Description PhD fellowship as part of research project “The Aesthetics of Bio-Machines and the Question of the Life” funded by the Velux Foundations Core Group Program. The Department of Culture
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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
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developing computing infrastructures (like Kubernetes) for large projects and/or in developing machine learning solutions is a plus. In addition, the capability to successfully conduct research projects in
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. To learn more, please refer to the selected publications from the Tiwari lab: Molecular Cancer, 2025 Jan 2;24(1):2; JCI Insight. 2025 Jan 9;10(1):e184518; Science Advances, 2024, Jun 7;10(23):eadn1640; EMBO