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Field
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for understanding the behavior of a broad class of systems with intrinsic motility. Porous materials -- such as cell cytoplasm, mucus, tissues, gels or soil -- serve as a natural propagation media of most
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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proteinaceous, and high energy (fat), body mass. Within the industry there is interest in two main business models; one is the efficient production (concentration) of proteins and fats, to be used as feed
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heterologous expression of biosynthetic gene clusters. Design and construct expression systems, including promoters, 5′ untranslated regions and other regulatory DNA elements. Engineer and evaluate microbial
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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the greenhouse sector. This joint USA-NL project supports the transition to sustainable and circular CEA without fossil energy, reducing waste, and improving resource efficiency. Current greenhouses rely heavily
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at the intersection of acoustics, physical modeling, voice and health. During the PhD you will build a sought-after profile spanning acoustics, signal processing and clinical application, in strong demand in both
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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and medical innovation Experience with mechanical design, machining, prototyping, or building custom experimental setups is highly desirable Previous experience with focused ultrasound, fMRI
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combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society