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needed to be admitted to the PhD programme. Experience with data statistical analyses including knowledge of R and/or python. Experience in biodiversity- and/or ecological studies in aquatic environments
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condition of employment that the master's degree has been awarded. Experience with Python programming, the ability to work comfortably in the Unix/Linux environment, and handling large climate datasets in
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and/or hydraulic laboratories Experience with experimental research and data analysis Analytical and programming skills for scientific computing and data analysis (e.g. Python, MATLAB, R, or similar
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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background and research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics); Significant experience with programming (preferably Python). Good
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, digital volume correlation, image registration, segmentation or quantitative image analysis. Surface metrology, profilometry or microscopy, together with statistical analysis in R, Python or equivalent
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at https://www.ntnu.edu/indecol . Your immediate leader is Associate Professor Johan Berg Pettersen at Dept. of energy and process engineering and Industrial Ecology Programme. Duties of the position Conduct
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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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promising molecular candidates. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307883/phd-research-fellow-in-medicinal-chemistry Where to apply Website https
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how to apply: https://www.jobbnorge.no/en/available-jobs/job/306488/phd-research-fellow-in-the-field-of-special-needs-education Where to apply Website https://www.jobbnorge.no/en/available-jobs/job