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Field
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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