80 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship research jobs at National University of Singapore
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for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive
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peer-reviewed journals and/or top-tier conferences. Knowledge & Skills: Strong foundation in machine learning, deep learning, and algorithm development. Proficiency in scientific programming (e.g
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and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and machine learning methods. We are interested in the large-scale brain structural and
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dynamics (MD), or ab initio molecular dynamics (AIMD), to investigate polyamide interfacial polymerization, interfacial reactions, or transport mechanisms. • Experience in data-driven modeling or machine
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. • Familiarity with reinforcement learning and more generally machine learning. • Experience with communication protocols such as LoRaWAN, Zigbee, BACnet, Modbus, and IoT integration using MQTT and RESTful APIs
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is to develop real-time truck-drone collaboration system to enhance Singapore safety and resilience and using learning-based approaches. Key responsibilities include: Collecting and analyzing relevant
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an active role in data management, processing, and quantitative analysis (e.g., longitudinal and multilevel modelling, time-series or high-frequency data analysis, machine learning or predictive
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., • Interest in developing risk prediction models via deep learning/machine learning. • Have strong background in DL, EEG data and programming for the implementation of proposed methods. Apply now
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: Electrical and Computer Engineering Employee Referral Eligible: No Job requisition ID : 31794 Apply now
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machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy. Research directions will be flexible and shaped according to mutual