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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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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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fueling of hydrogen will be tested. These data will be used to validate the developed models and guide infrastructure design. You will collaborate with other PhD students and researchers from Uppsala
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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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have some experience with scientific programming, in particular in Python, PyTorch or similar, in particular with respect to advanced data analysis or modelling operations. PhD students at the department
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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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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