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or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling, programming, systems thinking, and qualitative
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, Mathematics (Operations research) or Computer Science or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling
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modeling, process design, process optimization, and machine learning in energy, environmental, and chemical processes. During his research career, Dr. Nguyen has authored more than 20 scientific papers, with
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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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learning applications involving images using Python, C++, OpenCV, Matlab and other related frameworks. Experience with state-of-the-art AI systems such as deep learning and convolutional neural networks
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learners and students Mentor students in energy assessment projects to enhance their technical problem-solving skills. The learning activities may be classroom training, laboratory classes, projects or IWSP
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. The projects may also include to tackle benchmarking problems such as SAT, image processing, graph theories, boson/fermion sampling by applying classical machine/deep learning, neural network techniques and
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genomic platforms. We have a strong preference for computational biologists/statistician with a deep appreciation of biological phenomena or equally, microbiologists/immunologists with a solid background in
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microbiome with first access to large novel data sets from various genomic platforms. We have a strong preference for computational biologists/statistician with a deep appreciation of biological phenomena