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for this scholarship, award or prize or complete an online application form. It is awarded on the recommendation of the relevant faculty or University of Auckland committee. For more information about the awarding
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strategy to improve the turbulence detection and quantification. The flow turbulence and velocity in a vascular flow phantom will be measured by Particle Image Velocimetry (PIV), against which MRI data will
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support a more controlled, data-informed manufacturing environment and improve structural performance across the full lifecycle of high-value engineered components. Aim The student will have opportunities
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-supervisors) per PhD student University of Veterinary Medicine Hannover University location Activate map To activate the map, click on the "Show map" button. We would like to point out that data will be
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use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking for the best
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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. Generate structural and electronic descriptors to support the development and training of machine learning models for materials discovery. Contribute to the definition of FAIR data standards for the results
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departments and schools · Collect and analyze data · Write and submit scientific papers and abstracts, as well as submit grant proposals · Presents ongoing work and findings to colleagues and at academic
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on these problems, and use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking
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. They include e.g. research and specialist skills training, communication skills, personal effectiveness, wellbeing training, impact and engagement, data and analysis and career planning. You will formally