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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
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inactivation. Designing and optimizing multi-step and systems biocatalysis workflows, including flow chemistry and cascade reactions. Developing and applying modeling tools to evaluate kinetics, enzyme stability
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by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project
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selectivity is the first important barrier to overcome in order to perform quantitative analyses for each pollutant and avoid ionic interference between the different sensors used in the project. Sensor
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
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, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management
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of Internet infrastructure by developing autonomous systems that can self-organize, self-optimize, and self-heal across heterogeneous environments. You will tackle fundamental challenges at the intersection
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and IC design Thin-film flexible electronics Wearables What we do for you At imec, more than 700 PhD students from over 40 different countries are working on the future of a better world. This is