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for objective, data-driven rehabilitation through predictive analytics. This interdisciplinary PhD project, conducted in collaboration with the Department of Occupational Therapy and Physiotherapy at Sahlgrenska
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
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assistant is a fixed-term scientific position of 6 months. If you have hands-on experience with analytical chemistry and laboratory techniques and experience with troubleshooting, optimization of laboratory
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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different
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-month appointment that involves actively engaging with food industry stakeholders, leading the analytical services program at the Whistler Center for Carbohydrate Research, and developing a research
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proper customization, fine-tuning, extension to include context- or time-specific information and above all how to make all the process as much as automated as possible to support the automatic analytics
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related discipline. You will have strong experience in one or more of the following areas: electrified powertrains, marine robotics systems, automation, or predictive maintenance using data analytics
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) Optimization and tuning of catalyst layer performance and durability: morphology, hydrophobicity, porosity Product analysis and analytical chemistry; investigation of side reactions System process analysis and
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for their projects. AI transformation processes in projects and organizations Ethical considerations of using AI in project planning and delivery The use of project data analytics in AI-driven decision-making Machine