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, to automation and optimization, machine design, production, and production systems. Project Description This PhD project is part of the research project “Sustainable and Resilient Hydrogen Infrastructure
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organization and management, innovation and entrepreneurship, and industrial and social marketing in technology- and innovation-intensive activities, to automation and optimization, machine design, production
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into scaffold–cell interactions and contribute to the development of clinically relevant bone substitutes. Project goals Goal 1: Develop and optimize biomaterial inks replicating the composition of natural bone
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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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known as Uppsala University Drug Optimization and Pharmaceutical Profiling (UDOPP) — operates as a specialized unit in the Department of Pharmacy, Faculty of Pharmacy. The unit focuses on in vitro ADME
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
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social marketing within technology and innovation-intensive activities to automation and optimization, to machine design, production and production systems. The Division of Industrial Engineering and