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Field
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processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in connecting
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here
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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations
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systems, power electronics, wireless communications, RF engineering, embedded systems, signal processing, machine learning, image processing, microfluidics, electronic nanomaterials, or related fields
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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specifications, performance frameworks, and implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems
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batteries, fuel cells, supercapacitors), biotechnology and protein engineering, and enabling the efficient processing of vast astronomical datasets. Successful candidates will be expected to augment and
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expertise and that of the team to rapidly identify problems, propose solutions, and prototype, test, and validate new ideas that expand our core technical capabilities. Your work will include designing and
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, developing, and evaluating advanced ML algorithms and systems, leading technical execution across research programs, and advancing capabilities from early-stage concepts through prototype demonstration