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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals
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skills (e.g., MATLAB) an advantage. Publication record in reputable journals and the ability to independently drive research tasks to completion. We regret to inform that only shortlisted candidates will
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theoretical results. Proficiency in Python, MATLAB, or Julia for numerical work. Excellent communication skills, ability to work independently and in international collaborations, and willingness to travel
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data analysis using MATLAB, Python, C/C++, or equivalent tools. Experience: Demonstrated research experience through peer-reviewed publications in relevant fields. Experience in developing and
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.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc. We
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: PhD in Civil Engineering or related field At least 2 years of relevant experience in technical hands-on experience for TBM tunneling and excavation Excellent programming skills, such as Python, MATLAB
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intervals Job Requirements: PhD degree in Mechanical/Electrical/Civil Engineering or equivalent Good knowledge of ultrasonic NDT/SHM Good numerical simulation skills Good programming skills (Matlab, C
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experiences in GNSS data processing Strong computation skills with experience using MATLAB and/or Python Excellent written and verbal communications skills Evidence of being able to work both independently and
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Proficiency in Cadence Proficiency in Python and Matlab Experience in implementing algorithms for machine learning Good written and oral communication skills We regret to inform you that only shortlisted
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simulation models using MATLAB/Simulink, PLECS, PSCAD, or equivalent tools. Design, integrate, commission, and test laboratory-scale power electronic converter prototypes and experimental platforms