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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
of machine or deep learning models to identify patterns of codon usage in yeast genomes, 2) the implementation of tRNA-sequencing across diverse yeasts and conditions, and 3) the construction of tRNA deletion
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our
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& Development - Conduct original research in deep learning, related to uncertainty quantification for large models. - Explore cutting-edge advancements in AI and relate it to the main research objective
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the time of the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single
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-cultural and interdisciplinary team Adaptable and willing to enter into deep learning in new areas Fuent in written and spoken English with good communication skills Hiring Institution: LKC
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building new collaborations between the University and relevant partners • Supporting internal analytics to help determine focus/strength areas of commercializable research • Developing a new deep technology
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single-cell omics datasets
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other equipment purchased. 7) Mentor undergraduate and graduate students with their projects and teach how to use new instrumentation. 8) Contribute ideas for new research projects. 9) Stay informed