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wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences
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and observers are welcome to apply. Applicants who are in the process of completing a Ph.D. degree will also be considered. The starting time is flexible, ranging from immediately to the beginning of
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic research papers. They should be organized, self
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be expected to demonstrate this proficiency during the interview process. Candidates with experience supervising teaching units with language staff are highly encouraged to apply. Proven experience in
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the interview process. Candidates with experience supervising teaching units with language staff are highly encouraged to apply. Proven experience in leadership and university-level administration. A strong
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or related engineering fields; Demonstrated expertise in Artificial Intelligence, including but not limited to computer vision, intelligent robotics, or large language models; Practical experience in applying
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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. Preference will be given to those with expertise in innovative methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process
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of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and