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of four years with 25% compulsory work (primarily teaching). The candidate will be expected to contribute to the Master’s programme Organization, Leadership and Work (OLA) at the Department
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to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD fellow position is for a period of
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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as well as methodologies are considered. Interested candidates are encouraged to contact the listed contact persons for further information. UiO/ Anders Lien via Unsplash UiO/ Anders Lien More about
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). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g. Cantera or CHEMKIN. Background in compressible flows and applied
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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outside of the workplace itself Mentor programme as a new employee at NTNU Favorable terms in the Norwegian Public Service Pension Fund Free Norwegian language training at a basic level (A2) As a
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contribute to cargo selectivity. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist