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Field
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking a Research Associate to join MMLab@NTU. Successful candidates will conduct research and develop
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; Associated processing, mitigation, retrieval, correction and calibration algorithms for product generation. For remote sensing this includes algorithmic developments relevant to Lvl1 and Lvl2 ground processing
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developing new methods and techniques that will improve standard ML algorithms so as to achieve good performance outside their training distribution, by treating high-dimensional problems as an explicit
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datasets that include over 11,000 tree species annotations from across Switzerland, along with climatic, topographic, and lidar data. Test the best algorithm developed for the identification of tree species
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in a research project on machine learning modeling and optimization of vertical farms. Key Responsibilities: Development of new machine learning modelling approaches Development of new advanced control
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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* Conduct a literature review on algorithmic bias and its impact on marginalized communities. Create an annotated bibliography and develop a structured research paper outline. Draft key sections
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, payload, forward and retrieval algorithms, level 0 to level 1 algorithms, etc.); supporting the development of generic building blocks and modules for end-to-end performance simulators, aiming for maximum
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data and analyzes outcomes. Performs research on current and future HPC, data, and CI technologies, hardware and software. Works on algorithm development, optimization, programming, computer science
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quality control would be a plu Experience in the development and/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machinelearning methods