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Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department of Physics, City
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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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multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas is a strong plus; Experience developing ML-based optimization approaches is a strong plus; A strong publication track record is
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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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value and student learning experience is crucial. Preference will be given to those with experience in qualitative analysis and advanced statistics such as Structural Equation Modelling, Multilevel
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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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. 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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Job Description DEPARTMENT OF PHYSICS Post-Doctoral Research Fellow (25260341) We are looking for one Post-Doctoral Research Fellow to work on organic electrochemical transistor-based biosensor
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subject to satisfactory performance and availability of funding. Duties and Responsibilities To conduct research on the numerical modeling of giant-planet magnetospheres, with a primary emphasis on
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methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process mining, epistemic network analysis and cluster analysis