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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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created from extracellular matrix (ECM)-based hydrogels or from porous titanium will be fabricated using additive manufacturing and designed to incorporate antimicrobial agents to reduce the risk of
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of Electrical Engineering. Project description: Autonomous vehicles for mining and mobile robotics for industrial processes require complex motion planning as well as safe model-based predictive control and
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) position in Medical Cell Biology – Development of Advanced Tissue Models Admission to Doctoral (PhD) Studies in the subject of Medical Cell Biology Dept. of Medical Cell Biology, Disciplinary Domain
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-or script-based), and metadata integration. Demonstrated expertise in both untargeted and targeted metabolomics workflows and strong understanding of statistics and statistical modeling applied
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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Industrial Engineering, with specialization in hydrogen supply systems,you will join a research group dedicated to large-scale hydrogen supply and storage systems. The aim is to develop thermodynamic models
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safety. The goal of this PhD project is to increase knowledge of thermodynamic and material processes in marine hydrogen propulsion systems and to develop predictive models that ensure safe and efficient
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develops an adaptive AI-guided XR platform for capturing and transferring expert manufacturing knowledge. Your focus will be on developing AI methods for analyzing and modeling human workflows based on data
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms