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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
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communication, or signal processing. Proficiency in programming languages like Python, MATLAB, or C++, and experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. A proven track record of
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research. Qualifications The selection process will be on a rolling basis until the position is filled. Start date is flexible but the successful candidate should ideally commence no later than 15 November
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skills with excellent written, oral communication and computer skills. A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and
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of the feasibility assessment for the community-based falls intervention. This process also includes verifying and coding verbatim transcripts from these interviews to maintain data integrity and
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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organizational and interpersonal communications with excellent written, oral communication and computer skills. A team player who is able to prioritize, multi-task and work collaboratively in a diverse workforce
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Requirements PhD and/or MD degree in neuroscience, biological sciences or a related field. Experience with mouse genetics/behaviors, electrophysiology, viral vectors, stereotaxic surgery and molecular/cellular