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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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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) in Software Engineering, Computer Science, Artificial Intelligence, or a closely
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activities within the areas of embedded software. The position requires a PhD degree within a relevant area (e.g. software, computer, or control engineering) and the desired candidate is expected to have
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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
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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
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well as globally known local and international collaborators. To learn more, please refer to the selected publications from the Tiwari lab: JCI Insight. 2025 Jan 9;10(1):e184518; Science Advances, 2024, Jun 7;10(23
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the possibility of extension for three years. Tiwari lab employs cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation. In