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Engineering. You must have a Master's degree in Structural Engineering or equivalent. Your course of study must correspond to a five-year Norwegian program, where 120 credits have been obtained at master's
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document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program You must have good written and oral English language skills
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advertisement About the position A Doctoral Research Fellowship is available at the Faculty of Computer Science, Engineering and Economics at Østfold University College. This PhD candidate will play a central
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or Engineering geology, Geotechnical engineering, Structural or civil engineering (Specialized in underground construction), Computational engineering or applied mathematics, Data science or Artificial
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meet the requirements for admission to the faculty's Doctoral Programme (Phd - NTNU ) Software skills in 2D/3D technical drawing Strong theoretical background in fluid mechanics, mathematics and physics
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of teaching and administrative duties (up to 25 %), depending on the competence of the successful applicant and the needs of the department. The research fellow must take part in the Department’s PhD program
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for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in either (computational) Bayesian methods, or statistical learning for molecular data
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team
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of Information Technology and Electrical Engineering. Knowledge of fundamentals of C++ programming. Competence in code optimization. Knowledge of hardware/software co-design principles, and computer architectures. Good