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Field
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scenarios. Knowledge of programming languages (e.g., Python, MATLAB) and familiarity with software tools for structural analysis (e.g., OpenSees, Midas Gen, SAP2000, ABAQUS). Excellent communication skills in
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or Python) - In-depth understanding of computer systems (assembly code, compilers) Important personal qualities are the ability to work in a team, communicate with colleagues, be curious and creative. About
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, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
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pump-probe technique, photophysics, or optical characterization of nanomaterials is highly desirable. Familiarity with programming for instrument control and data analysis—using platforms such as Python
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programming experience (preferably in Python). If English is not your first language, provide evidence of proficiency through: A minimum IELTS average score of 6.5 and a minimum of 6.0 in each component. OR A
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a strong background in one or more of the following areas: nonlinear (Lyapunov-based) analysis tools, software skills with Matlab or Python, and strong writing skills. Special Instructions
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Science, Transportation Research Part B, or conferences such as SIGKDD, ITSC, CIKM) Strong programming skills in Python Strong interest in scientific research with the goal of obtaining a doctoral degree
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practical experience in at least one programming language (preferably Python) Ideally, some practical experience in material characterization methods Structured and analytical thinking as well as a systematic
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knowledge of machine learning as well as a basic understanding of robotic perception systems. Essential skills include proficiency in programming languages such as Python and C++, and some experience with
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and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children is also desirable. The project will be based at the Institute for the Science of