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described in “Focus of the Doctoral Position” 6. Contact details for two references (e.g., previous supervisors) Incomplete applications will not be considered. Further Information For more information about
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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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and Energy Research • Food Research Centre • Lab of Plant Growth Analysis • Center for Biotech Data Science To further develop research activities at the GUGC campus and promote research collaboration
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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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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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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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. 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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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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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