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genomics, genetics, computational biology, cell biology, molecular biology, synthetic biology etc.) An outstanding publication track record, preferably with a first-author paper in a high-impact journal
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, Computer Science, Statistics, or other related fields. Familiarity with machine learning and signal processing algorithms for wireless communications. Good written and oral communication skills
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Electrical and Electronic Engineering, Applied Mathematics, or fields related to Computational Science and Engineering More than 5 years of research experience in the related area Experience in code
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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applies AI to tackle challenges in aquaculture and drug delivery, working at the interface of materials science, biology, and computational modeling. Key Responsibilities: Lead and execute AI-driven
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. Collaborate closely with faculty members, research fellows, and external partners on interdisciplinary projects. Job Requirements: A PhD’s degree in EEE, Computer Science, Computer Engineering, or related
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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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Requirements: Ph.D. in Mathematics, Computer Science, or a closely related field, with a focus on mathematical logic. Demonstrated ability to conduct independent research, as evidenced by a track record of
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engineering, computer science, or related fields. At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope Advanced signal processing and programming skills
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational