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for a closed-loop decision support system that can be verified in rehabilitation in many health conditions. This position is open for a postdoctoral researcher in the field of transparent machine learning
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, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model experiments using CESM2
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novel methods at the intersection of advanced control, optimization, manufacturing science and machine learning, to create the next generation of sustainable automation solutions for modern manufacturing
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combine computer-aided molecular and process design to optimize molecules and processes simultaneously. To holistically evaluate the environmental impacts of chemicals and energy systems, we develop
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simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs. Fluid injection or production induces changes in
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Research Assistant Position: Development of Rail Roughness Measuring Technique and Big Data Analysis
on machine tools and in the field of production engineering. Recent topics of research focus on novel technologies such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data
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machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and make biomechanical simulations embedded in the generative mechanism design process. In
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in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry
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testing of the interactive interfaces. The visual interface will be built with Apple Vision Pro. Profile Solid programming experience in C#/Unity, Python Knowledge of human-computer interaction Knowledge
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variability described in the data by means of uncertainty aware calibration and Bayesian estimation Include how experts currently operate and acquire feelings for the machine they are driving, also based on a