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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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USNH Employees should apply within Workday through the Jobs Hub app The Department of Civil and Environmental Engineering in the College of Engineering and Physical Sciences at the University
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short courses in the core subjects of this PhD programme including process intensification and green chemistry. This project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral training
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Marie Skłodowska-Curie Actions (MSCA) COFUND doctoral programme INNOCHEMBIO (https://taltech.ee/en/innochembio), which is co-funded by the European Union (Grant agreement 101217295), offers 15 PhD
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level equivalent to a two-year master's degree. The ideal candidate will have a background in photonics and condensed-matter physics. You should have a passion for theoretical and computational physics, a
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undergraduate units in computer science or coding experience gained through Honours or Masters research work Local and international students are welcome Full-time onshore enrolment Application process Any future
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the application process to the PhD programme Digitalisation and Society at Østfold University College when starting in the position. The appointment is to be made in accordance with the State Employees law, the act
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, workshops, and international conferences Publication of results in peer-reviewed scientific journals Your Profile: Excellent university degree (Master’s or Diploma) in materials science, metallurgy, physics
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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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with good results. Completed courses and/or research experience in one or more areas including membrane protein structure, biochemistry, physical chemistry, pharmacology, and biophysics. Demonstrated