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algorithm market success: code, data, and (pre-trained) models”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. Xin Li
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of 3 years of relevant research experience. Familiarity with sensors and structural design. Strong written and oral communication skills. Proficiency in programming languages such as C/C++, MATLAB
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for biomedical/healthcare and green energy applications, big data and AI in smart sensor technology, and quantitative and systems biology. These efforts are supported by infrastructural and internationalisation
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the project leader in the research project - “Efficient algorithms with anderson acceleration for nonsmooth equat”. Qualifications Applicants for the Research Fellow post should have a doctoral degree with at
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projects related to the development of novel algorithms and AI tools for detection of eye diseases. A highly competitive salary commensurate with qualifications and experience will be offered, in
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of genomics, transcriptomics, proteomics, and metabolomics data, as well as expertise in molecular docking, virtual drug screening, and the application of deep learning and machine learning algorithms
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months] Duties The appointees will assist the project leader in the research project – “Multi-sensor-based smart sorting (MSS) system for solid waste recycling and sustainable development”. Qualifications
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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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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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collaboratively as a team. The appointee will be involved in research projects related to the development of novel algorithms and AI tools for detection of eye diseases. A highly competitive salary commensurate