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of Engineering programme as Associate Professor in AI and Computer Vision. You will play a central role in educating future engineers, combining deep technical expertise with close interaction with students in a
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experimental methods in thermal and fluid mechanics, including data analysis, uncertainty estimation, and model validation, is desirable. Familiarity with optical measurement techniques in fluid mechanics and
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-edge fabrication capabilities. Evaluate new process requirements against current capabilities to perform risk assessments and provide accurate yield estimations. Qualifications Masters/Ph. D in material
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