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in ion transport and (2) using machine learning methods to design protein binders. The incoming postdoc will have the opportunity to mould the project to a significant degree. The candidate should have
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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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activities, which span a diverse range of advanced electronic systems. These include FPGA and neuromorphic computing, edge AI, machine learning, sensing technologies, and energy harvesting—key components
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. You will also work closely together with course teams to develop data generation, data analysis, modeling, simulation, and machine learning workflows as well as develop custom data science-related
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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