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hydrodynamic modelling and sediment transportation. Model Validation: Validation of DHI Mike Model with past historical data Data Analysis: Process and analyze coastal and ocean wave data to improve model
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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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against existing commercial technologies. Key Responsibilities: Perform literature review on data available for commercial processes Provide estimations for data not available in literature Develop process
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the structure and functions of the human brain, with particular emphasis on both normal and pathological cognitive processes. Located in the Experimental Medicine Building on NTU’s main campus, CoNiC is equipped
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management of procurement and payments. Managing financial processes related to grant claims, such as tracking expenditures and processing payments. Daily lab management tasks such as inventory of supplies and
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management of procurement and payments. Managing financial processes related to grant claims, such as tracking expenditures and processing payments. Daily lab management tasks such as inventory of supplies and
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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
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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
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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