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, NTNU, will host the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, generative AI models, and computer science. A successful candidate will be offered a three
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methods. Knowledge of bioinformatics, DNA-sequence analysis or computational design tools. Experience with high-throughput experimental workflows, automation or design–build–test–learn cycles. Experience
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engineering, physics, materials science or a related area. Experience with modeling, experiments and design. Team players with good communication skills. Creative, independent and self-motivated. with
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: Industrial Design Engineering (IDE), Civil Engineering and Geosciences (CEG), and Technology, Policy and Management (TPM). As a PhD candidate, you will conduct research aimed at making public transport more
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Local students applying for a place in a higher degrees by research (HDR) program will automatically be considered for an Australian Government Research Training Program (RTP) Fees-Offset (Domestic
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of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year position, which could potentially
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for martensitic stainless steels, where they originate from, and how they accumulate throughout recycling loops. Combining advanced characterization, materials science, and metallurgical insight, you will explore
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broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other
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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the
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should have the following qualifications: A strong Master's degree in Physics or Applied Physics, Photonics, Nanotechnology, Engineering or a related field. Knowledge of nanooptics, photonic crystals