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) models for empirical statistical analysis, as well as potential experimental designs to validate findings. Empirical setting The research will utilize data from the Danish Innovation Fund, integrated with
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hires, ensuring the safety, compliance, and integrity of the workplace. Read more about The Doctoral School of Engineering and Science Salary and terms of employment The employment is in accordance with
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, hysteresis, oscillatory behaviour and support dependencies. Compare cluster behaviour across different characterization techniques (TEM, STM, TPD). Integrate findings to map the relationship between cluster
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integration of model checking and synthesis with machine learning will provide the key to innovative, highly scalable methods for learning, analysis, synthesis and optimization of cyber-physical systems. Based
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, section for Fluid Mechanics, Coastal and Maritime Engineering. The PhD project will play an integral part of the project “Marine advection and dissipation in the vegetated coastal environment”, financed by
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models
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for Industrial Mechanics. This center is an integral part of the Institute of Mechanical and Electrical Engineering, situated in the vibrant city of Sønderborg. Together, they form a hub of technological
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Sustain and DTU FOOD), as well as two Departments at NTNU (Chemistry and Biology) will supervise and integrate the PhD fellow into several research communities. There will be an enhanced focus
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to material, cutting tools and parts production. The PhD project will therefore focus on the development of an integrated system combining direct and indirect tool wear monitoring for reliable residual life
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process. An integral part of the project will be the development of enhanced data-driven physics methods to achieve reliable prediction of material removal rate and material removal distribution