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Field
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desirable Experience with LabView, MATLAB, Python, other measurement automation and analysis software Mechanical and electrical design and fabrication capability is desirable Metrology and uncertainty
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properties of thin film samples - Use open-source (python) fitting methods to constrain structural models, determine uncertainties, and combine these properties into a hybrid metrology digital wafer - Perform
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composites) Background in polymer viscoelasticity and physics Strong quantitative/data skills (Matlab/Python/Origin) Demonstrated record of technical writing and public speaking Ability to lead projects
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years of relevant experience with microelectronic fabrication. ? Familiarity with programming in MATLAB and Python. ? Experience with finite element simulations in ANSYS or COMSOL. ? Strong oral and
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record of publications in Computer Vision, Natural Language Processing or Multimodal AI research. Excellent programming skills and familiarity with Python and PyTorch Excellent mathematical literacy and
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and oral communication skills. Competence in information visualization and interaction design. Basic scripting or control software development skills (e.g., Python or C++) are advantageous. Experience
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Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Programming skills in Python, R, or similar Fluent oral and written communication skills
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programming language such as Matlab, Julia or Python Experience in the development and analysis of mathematical and computational models of real-world phenomena Strong interpersonal, communication and
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/or Python Interest in regression, multilevel/hierarchical and/or Bayesian modeling Interest in translational clinical research and ability to work in an interdisciplinary team Excellent written and
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analytical and research skills, as well as proficiency in English, both written and spoken. Preferential factors include: Knowledge of data analysis tools (e.g., Excel, SPSS, R, Python or similar); Familiarity