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(Montanuniversität Leoben - MUL, Austria) DC6: Compositional footwear analysis: Compositional analysis and optimized treatment pathways (Technical University of Denmark - DTU, Denmark) DC7: Compositional sorting
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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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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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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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engineering starts from use cases (typical and exceptional) and various system scenarios (different operating modes, failures). This will require the development of suitable domain-specific languages (DSLs
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the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam generation unit, imaging lenses
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three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam
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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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, 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