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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis/optimization/programming software (e.g., HOMER, GAMS, and Python). Evidence of previous
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existing modules (by then) developed by the project team of ‘OceanCoupling ’. Develop code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of customized scripts
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metrology, profilometry or microscopy, together with statistical analysis in R, Python or equivalent software. Dental crown materials, restorative dentistry, prosthodontics or dental laboratory workflows
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inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant computing languages Documented research experience or educational
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Language Models Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow) On top the candidate with two or more of the following will be an added advantage: Ability to conduct independent
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analysis skills (e.g., Python, MATLAB, LabVIEW). PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you do not already have educational
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), it must be equiva-lent to a master in the Norwegian educational system Documented proficiency in scientific programming (e.g., Python) Documented proficiency in deep learning frameworks (e.g., PyTorch
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with programming in Python is a requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave
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have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded Experience with programming in Python is a