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Field
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analysis. · Advanced programming and workflow development skills in Python, R, Bash, and related computational tools for large-scale data analysis and reproducible research. · Experience with
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systems Experience in large-scale data processing, signal analysis or real-world system deployment Proficiency in programming (e.g., Python) and ML frameworks (e.g., PyTorch, TensorFlow) Experience with
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applied to document analysis; vi) familiarity with qualitative and quantitative analysis software with textual analysis and natural language processing tools, with experience in Python or R (advanced
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real-time perception systems and deployment on robotic platforms. • Proficient in C++ or Python; experience with ROS and robotic middleware. • Familiar with UAV systems (e.g., PX4), and simulation
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Python. Experience in the analysis of metabolomics, spatial omics, or other biomedical datasets is preferred. Interest in cardiovascular biology, metabolic disorders, translational medicine, or biomarker
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, Environmental Science or equivalent 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
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) - Strong quantitative/data skills (e.g., Matlab/Python/Origin/JMP) for processing large datasets, fitting models, and producing publication-quality figures. - Track record of technical writing (peer-reviewed
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. - Familiarity with programming in MATLAB and Python. - Experience with finite element simulations in ANSYS or COMSOL. - Strong oral and written communication skills. Application Instructions Please upload
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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