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Program
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Field
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://www.ntnu.edu/iv/doctoral-programme Strong background in fundamental or applied fluid mechanics. Programming skills in MATLAB, C, Python, or similar packages. Excellent command of the English language, and
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in undergraduate and graduate instruction. Experience with programming software (e.g., Python, R, MATLAB and/or other programming software). Preferred Qualifications Expertise in advanced biomechanical
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tasks relevant to the project The following experience is beneficial experience with common scientific software (e.g., Matlab, Mathematica, Python, R) working knowledge of statistics supervision of BSc
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Abilities: Demonstrates expertise in chemical degradation and stability of organic materials Experience in computer programming using a high-level language such as MATLAB, Python etc. Critical eye towards
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applications Proficiency in programming and data analysis languages (LabVIEW, Python, MatLab, OriginPro, JMP, or similar) Knowledge of ferroelectric materials and their properties Advanced knowledge of complex
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assessed according to the following weights and criteria: - Quality of the Curriculum - Proven knowledge of imaging data analysis software (20%); proven programming skills: Matlab, Unix, Python (20
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low-fidelity and high-fidelity models for emissions, trajectories, and re-entry. Proficiency in numerical modelling and programming (e.g., Python, MATLAB, C/C++/Fortran). Ability to work efficiently and
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of relevant scientific programming language(s) (e.g. MATLAB, Python) Essential Application Experience using the Ice Sheet and Sea Level System Model or similar numerical ice flow models and/or Experience using
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Master’s degree, if applying for the Research Associate rank. A strong background in mathematics and programming (e.g., Python or MATLAB). A strong publication track record. Excellent analytical and research
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and four years of relevant experience. • Excellent scripting and programming skills including: Java, SQL, Python, Torch, Lua, Linux • Experience working in headless server environments • Desire to learn