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Field
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devices, and edge computing platforms. Deploy machine learning models to enhance process control and system responsiveness. Collaborate with industry partners to identify research challenges, co-develop
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seeks to better understand current services for people with severe obesity and involves a randomised controlled trial of a new group-based behaviour change intervention (called “PROGROUP”) for people
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for People with Severe Obesity (the “PROGROUP” project). This programme of research seeks to better understand current services for people with severe obesity and involves a randomised controlled trial of a
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required. At least 2 years of combined specialized post-doctoral experience in industry or a recognized research institute. Expertise in plasma physics, plasma process design, magnetic field plasma control
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contemporary controls on aeolian processes in desert environments. Due to the research needs within the group preference may be given to candidates with specific expertise in aeolian dust emissions, especially
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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code for experiment control, data acquisition, and data analysis. They will be expected to work effectively with Dr. Smith, collaborators, other group members and contribute to the dissemination
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. Job Overview The Guidance, Autonomy, Learning, and Control for Intelligent Systems (GALACxIS) Lab led by Dr. Abhinav Sinha in the Department of Aerospace Engineering at the University of Cincinnati is
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research in an international context, representing Cosmoglobe and UiO at meetings and conferences. The main goal of this position is to develop a massively parallel version of a computer code called
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. 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 . ... (Video unable to load