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of Transformable Sites: Using UBEM to pinpoint optimal locations for densification based on spatial, architectural, and socio-economic assessment Implementation and Environmental Assessment: Applying densification
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. Your tasks The PhD research will be entailing an international recurrence case study and focuses on applying and optimizing 3D X-ray virtual histology methods by micro-CT for recurring thyroid tumors
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to optimize material performance for CO2 valorization Work with project partners to design and implement AI-assisted high-throughput synthesis and testing protocols Contribute to the publication of research
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collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and
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for efficient manipulation and optimize biodegradability while maintaining robust robotic performance. Profile MSc background in Chemistry, Physics, Materials Science, Nanoscience & Nanotechnology, or related
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), Cooperative and Competitive Multi-Agent Reinforcement Learning (MARL), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization
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, 102849). Coupling simulations of forest growth and management with multicriteria optimization - involving multiple, often conflicting objectives - allows for the identification of forest management
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optimal locations for densification based on spatial, architectural, and socio-economic assessment Implementation and Environmental Assessment: Applying densification strategies to selected VTAs, analyzing
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Your tasks The PhD research will be entailing an international recurrence case study and focuses on applying and optimizing 3D X-ray virtual histology methods by micro-CT for recurring thyroid tumors
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part, it is essential to optimize many material factors and printing parameters. The project investigates aspects like nozzle design, closed-loop feedback, optimal toolpath prediction and computational