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performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial behaviour for use in dentistry. This is not a data-science-only position; prior hands-on experience in
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such as Python. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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data analysis capability, including experience with statistical software such as R or Python. Soft Skills: Strong academic writing, teamwork, and communication skills. Track Record: Evidence of academic
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Multiphysics, Abaqus), CAD software (Solidworks, AutoCAD), Visual C++, LabVIEW, Pythons, EEG, and eye-tracking systems Demonstrated expertise in the area of design, methods, modelling, and optimization
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or coding platforms including SketchUp, EnergyPlus, OpenStudio, TRNSYS, and Python; Proven ability to work at a fast pace and to react rapidly to new information; F1 experience would be advantageous but not
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Familiarity with ESG (Environmental, Social and Governance) regulations and standards Good written and oral communication skills Proficiency in Python and cloud computing Team player and able to develop
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analysis using Python, MATLAB and/or LabVIEW. Integrate experimental and numerical findings to establish performance benchmarks, identify promising design directions and produce practical design guidelines
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programming and IT skills (i.e., Matlab, Python) Strong interpersonal and team building skills Excellent communication skills Demonstrable managerial and leadership skills, with ability to motivate staff
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submitting (new manuscripts and/or revisions) to the top OR journal listed above. • Proficiency in Python, particularly in optimization package usage and data-analytic related tasks. • Proficiency in
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strong mathematical knowledge. Possess strong computational skills in high-performance computing (HPC) environments and proficiency in a Linux environment and programming languages such as R, Perl, Python