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). This project aims to support clinical adoption of DBTMI by (1) Optimizing the DBTMI prototype; (2) Performing a clinical study of DBTMI vs DM with 600 women; and (iii) Optimizing DBTMI reading and exploring AI
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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
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Engineering . You will be supervised by senior researchers with expertise in robotics, machine learning, automatic control, and optimization. The group leads and participates in numerous collaborative research
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Methodological toolkit related to applied mathematics, environmental economics, game theory, or operations research Skills in data management and computational implementation of large-scale optimization models
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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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collaboration with Lund University. The candidate is expected to have a strong mathematical background particularly in stochastic modeling, optimization, and reinforcement learning. As a PhD student, you devote
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Engineering, or a foreign degree deemed equivalent, in Electrical Engineering or related fields, or equivalent competence considered relevant by the employer. Strong knowledge in control and optimization theory
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) for the future 6G-NTN where trade-offs around flexibility, scalability, autonomy and optimization are made with respect to the fact that the systems will execute in space. In addition, work is planned in path
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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