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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Previous relevant research experience Publications Programming skills (R or Python
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biology, molecular biology including mammalian cell culture is required Documented knowledge in bioinformatics and programming (Python, R) is required Experience in LC-MS and mass spectrometry is required
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of supervisors that covers both academic pursuits. Primary tools are the programming language Python to exploit its advanced deep learning toolboxes (e.g., Keras, TensorFlow, and PyTorch), alongside
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biochemistry are required Profound knowledge in bioinformatics, especially Python and/or R are required Experience from relevant research projects investigating cellular metabolism, and/or protein modifications
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devices Knowledge of Python programming Good knowledge of materials technology, and basic knowledge of environmental assessment of materials Good written and oral English skills PLEASE NOTE: For detailed
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, Python or similar). Knowledge of European standards for the design of buildings (Eurocodes) Ability to handle big datasets Oral and written presentation skills in Norwegian or another Scandinavian language
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in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python, or similar programming languages (or strong skills in another statistics software) Knowledge about
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engineering problems is highly desirable. Proficiency in programming languages such as Python, MATLAB, or R. Experience with digital tools for 3D modelling, GIS, or drone-based mapping. Ability to analyse
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of the Norwegian grading scale. Solid programming skills, preferably in Python. Hands-on experience in database programming. Experience in installing, training, and using large foundation/language models. Personal
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starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python