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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Associate to work on the
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cohorts and data generation resources through highly collaborative clinical faculty. Ideal candidates will have expertise in computational modeling, machine learning, or algorithm development, with
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transcriptomic technologies and biological data interpretation is a plus. Familiarity with optimizing cell segmentation algorithms for enhanced accuracy and efficiency, as well as experience with tools/packages
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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on the development of algorithms for ECG signal analysis and validation of novel biodegradable ECG electrodes. The contract will be within the framework of the “Green Electrodes for Sustainable Electrophysiology
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learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g
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the consumers have economic benefits. Moreover, these smart charging algorithms will be tested in six demonstration sites, dedicated to assessing the technical and economic feasibility of smart charging light and
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on experience and qualifications). More information about this position is available on https://uol.de/en/job/research-associate-foundation-models-for-hearing-aid-processing-819 The position is embedded within
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in Verilog. The FFT module must be enhanced to include the calculation of a metric named "Total Harmonic Distortion" (THD). Functional verification and performance testing of these algorithms must be
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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