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- NTNU Norwegian University of Science and Technology
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are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You must be
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
programming languages such as Python, FORTRAN, or similar, and an experience with using an FEA software. You must be fluent in spoken and written English. Your education must correspond to a five-year Norwegian
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grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme: https
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therapeutics. For more details see this review: https://doi.org/10.1016/j.trecan.2022.09.001 Please get in touch if you don’t have access to the review. The candidate will: Perform Oxford Nanopore sequencing
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at the time of application Special requirements for the position: possess solid programming skills (e.g., Python, R, GIT) familiarity with machine learning, data analytics, or deep learning keen interest in
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computing within development environments such as Matlab and/or Python This position is restricted by acts relating to Control of the Export of Strategic Goods, Services and Technology. This means
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selection criteria Experience in laboratory work, preferably related to chemical absorption Experience in modelling using Matlab or Python You have knowledge of the chemistry of ionic solutions and are
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skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP. Knowledge of or experience with semantic modeling, knowledge representation and automated reasoning. Knowledge
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Technology (NTNU) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP. Knowledge of semantic