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Field
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using datayvu software and excel preferred Current driver’s license preferred Prior research experience working directly with young children is preferred Work Mode Designation This position has been
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to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health
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international research network and are provided with personal computers, printer access, extensive library resources, and a wide range of software. Further information on the Department of Economics and on
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engineering and/or timber engineering. Experience in scientific timber-related laboratory work Knowledge of Finite Element software programs (e.g. Abaqus and OpenSees or similar) Programming skills (e.g. Matlab
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meet the requirements for admission to the faculty's Doctoral Programme (Phd - NTNU ) Software skills in 2D/3D technical drawing Strong theoretical background in fluid mechanics, mathematics and physics
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and manage independent research • Ability to set research goals, be self-motivated and proactive • A keen eye for visual presentation, software design, and in writing clear, concise, elegant code
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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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modelling tools/software (e.g., FLAC3D, PLAXIS, RS2, or similar). Experience in developing or calibrating models using field or case study data. Familiarity with AI/ML techniques and their application in
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facilitating professional development external link , leave schemes and schemes for sports and cultural activities external link , as well as discounts on software and other IT products. We also offer access
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visibility and focus on the local community. Through interaction and dialogue with regional businesses and society, we take an active role as a societal developer. We are looking for individuals who