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identification in greenhouse environments. Apply machine learning to analyze plant and environmental data. Support the integration of AI algorithms with automated sensing systems for real-world deployment. Assist
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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knowledge and requiring more robust selection strategies. - Generalize results to the "philosopher inequality" setting [4], where the benchmark is the optimal online algorithm rather than the expected maximum
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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decomposition algorithms (such as Logic-based Benders decomposition) for which it is crucial to define how to exchange information between the various subproblems into which the original problem is decomposed
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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of three referees to: https://www.wenjuan.com/s/MFzQjeO/ For more information, please visit http://sist.shanghaitech.edu.cn/ or contact sist@shanghaitech.edu.cn Institute of Mathematical Sciences (IMS
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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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exploratory analysis on large, multi-dimensional datasets; (b) develop predictive/diagnostic models and algorithms to lead and support clinical/translational research; (c) collaborate with cross-functional
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and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job Description The Content