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Field
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geophysical investigation, geomechanical engineering, and machine learning. The Centre for Urban Solutions is to provide leadership in developing innovative solutions and sustainable technologies for space
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics
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, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc
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theories in inverse/scattering problems. Once successful, the candidate is expected to transfer their expertise to machine learning/scientific computing in collaborations with other group members (phd
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
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Intelligence, Machine Learning, Natural Language Processing, or a closely related discipline. Demonstrated expertise in Large Language Models (LLMs), Natural Language Processing, Efficient Deep Learning, AI
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of relevant research experience. Background conducting quantitative research in healthcare. Technical Skills or Knowledge: Proficiency in optimization, statistics, machine learning, econometrics, or AI
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technology and method development, and brain-machine interface research. Exceptional candidates from other neuroscience areas are also encouraged to apply. Learn more about our institute and these
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design online or in-person cybersecurity courses in topics such as AI and Machine Learning in Cybersecurity, Threat Hunting & Incident Response and Data Privacy & Protection. Qualifications: Master’s
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. Trains, deploys, and evaluates machine learning models. Uses subject matter and best practices knowledge to perform lab and/or research-related duties and tasks. Works independently to assist with