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Implicant Pte. Ltd. is a Singapore deep-tech spin-off from NTU SPMS. We build machine learning models that are interpretable by design and run on encrypted data using fully homomorphic encryption
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, such as scientific computing and scientific machine learning, and promote interdisciplinary collaboration among the disciplines of mathematics, computer science, and engineering. Candidates with strong
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new theory, models and algorithms in the areas of computer aided design, geometric modeling, deep learning, LLMs, etc. Develop and implement algorithms and prototype tools for 3D content generation
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biophysics and machine learning for the accurate prediction and design of functional enzymes; and explore their real-world applications. Job Requirements Ph.D. in a relevant area, e.g., Chemical Engineering
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related field. Strong background in statistical modelling, high-dimensional data analysis, and machine learning. Proficiency in R; Python or related computational experience is advantageous. Good analytical
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research in formal verification, machine learning and artificial intelligence system assurance. The successful candidate will develop new techniques and tools for analysing, verifying and improving
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of machine learning/deep learning for signal processing and receiver design is desirable. Experience with SDR platforms, particularly Ettus USRP devices, and GNU Radio/UHD development is an advantage. Strong
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processing, estimation theory, detection and classification, waveform-based geolocation, and machine learning/deep learning, with demonstrated research experience in passive localization and tracking using
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equivalent. More than 2 papers published at top AI/Machine learning conferences Experience of deep learning and machine learning Good communication and coordination skills Positive working attitude and a good
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. More than 2 papers published at top AI/Machine learning conferences Experience of deep learning and machine learning Good communication and coordination skills Positive working attitude and a good team player