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and the research team members to ensure all project deliverables are met. Lead the design, development, and experimental validation of high-frequency ultrasound imaging methods, with emphasis on high
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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, identify populations at increased risk for severe respiratory illness, estimate disease burden, and inform public health planning and decision-making. As part of this research opportunity, you will gain
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framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning
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Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills Proven
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science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and entrepreneurship
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& Responsibilities: Design and implement methods to maximize the expression and activity of integral membrane metalloenzymes and associated proteins. Carry out activity assays using a GC-MS. Measure metal
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methods to apply to genomic resources, or to develop novel genome annotation methods to apply towards existing genomic resources. Developing and customizing pipelines for automation of data processing
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, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths
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-light three-dimensional reconstruction, computational photonics and AI-assisted sensing. The role will focus on developing optical encoding methods, imaging-system calibration approaches, reconstruction