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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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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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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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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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uniting expertise from (i) machine learning, statistics, mathematics and data science, (ii) law, and social sciences, and (iii) philosophy, the centre establishes a new framework and approach for advancing
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the position and no later than 30.11.2026 You must have a strong academic background from your previous studies in mathematics, dynamics, wave propagation, and have an average grade from your Master's degree
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the position and no later than 30.11.2026 You must have a strong academic background from your previous studies in mathematics, dynamics, wave propagation, and have an average grade from your Master's degree
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, Computational engineering or applied mathematics, Data science or Artificial intelligence. You must have a Master's degree in above listed areas or equivalent. Your course of study must correspond to a five-year