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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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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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schedule are essential to succeed in this role. Applicants in the final stages of their PhD studies may be considered for appointment as a Senior Research Assistant. The appointee will work closely with
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). Please find the relevant information about the research group at https://sites.google.com/view/sjwanghkbulab/home Requirements: A PhD degree related to organic electronics or other closely related fields
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deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images
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independently and interdependently within a team on a tight schedule are essential to succeed in this role. Applicants in the final stages of their PhD studies may be considered for appointment as a Senior
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://sites.google.com/view/sjwanghkbulab/home Requirements: A PhD degree related to organic electronics or other closely related fields; Proven experience in organic electrochemical transistors, microfludics, device
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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
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), to commence as soon as possible, on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should have a PhD degree in biological
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subject to funding availability and satisfactory performance. Applicants should have a PhD degree in biological/medical sciences or related disciplines, with post-doctoral research experience in virology