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can conduct research independently • Fluent in English and able to present research to both researchers and the general public • Strong publication record • Experience in conducting wind/water
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Research Fellow @ the SMOL Project of the Department of Communications and New Media The Social Media, Online behavior, and Language (SMOL) project at the Department of Communications and New Media, National
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learning or large language models. Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models
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Intelligence, or a related discipline from a strong institution. Skills: - Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn
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, conductivity, and biocompatibility. Good written and oral communication skills, with the ability to produce high-quality publications and technical reports. Strong problem-solving skills and the ability
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communication skills and fluency in English are required. Ideal candidate will be adept at planning, prioritizing, multi-tasking, organizing, following through, and thinking on his/her feet. Knowledge of Python
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Researcher (R1) Country Singapore Application Deadline 26 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Researcher (R1) Country Singapore Application Deadline 27 Oct 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Responsibilities: Explore the frontiers of intelligent sensing by advancing cutting-edge theories and pioneering transformative technologies. Integrate wireless sensing with Large Language Models (LLMs) to pioneer
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) degree in nanophotonics, EUV technology or related field Familiarity with Maxwell’s equation, nanophotonic simulations and optical measurements Good written and oral communication skills Proficiency in