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. The positions are fixed for 3 years. PhD Focus Area: Classification and Identification of Underwater Anomalies This PhD project focuses on enabling advanced underwater perception through multi-modal sensor fusion
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ultrafast ultrasound imaging (UUS) to assess muscle function in individuals with Type II Diabetes Mellitus and related neuromuscular disorders. The integration of these two modalities is expected to overcome
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, with an emphasis on rapid prototyping and deployment in real-world scenarios. Research activities include control of unmanned systems, multi-modal sensor fusion, underwater perception, and digital twin
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. Completing courses and training required for being awarded the PhD degree. Design and perform strain engineering works in Bacillus. Perform OMICS data analysis, especially RNAseq analysis. Specific
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consist of the following: Numerical simulation of multimode Raman interaction Mode excitation in optical fibers Characterize the modal purity of a multimode Raman amplifier Develop and implement spatial
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“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark
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powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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of business models supporting flexible energy production, storage, and consumption Techno-economic and operational analysis of flexibility strategies and digital market mechanisms Expertise in hardware-in