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., or Physics or similar discipline. Has a strong knoweledge in core disciplines, i.e., mathematics, physics, chemistry, thermodynamics. Enjoys working in a team with other students (MSc or PhD) and senior
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criteria You must have a relevant Master's degree in acoustics, signal processing, physics, mathematics, computer science, or another relevant technical/quantitative discipline. Master's students can apply
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researcher and as a person. The Department of Engineering Sciences and Mathematics carries out research in areas such as wood, composites, metals, mechanics, and energy. Our engineering programs include
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colleague? Apply now! Education Ph.D. in Computer Science, Data Science, Mechanical Engineering, Systems Engineering, Applied Mathematics, or a closely related discipline with a definitive focus on data
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/mathematical-natural sciences field or have otherwise acquired knowledge to be able to benefit from third-cycle studies in the subject. Meriting competencies and experience In addition to the qualifications
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28th September 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in High-Frequency Wide-Bandgap Power Conversion Technologies Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific...
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academic backgrounds include: Operations research Computer science Artificial intelligence or machine learning Applied mathematics Engineering disciplines with strong quantitative and algorithmic content
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, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at the interface
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approaches, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at
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Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a relevant subject or subject relevant to the proposed PhD project (inc. computing, mathematics