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, Computer Science, or related field, with strong background in machine learning Publications in top-tier journals and/or conference presentations as first author Proficiency in AI programming languages
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Computational Biology, Bioinformatics, or a related field At least 2 years of experience in analyzing large-scale genomics datasets. Experience with NGS pipelines and multi-omics integration Familiarity with
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, and environmental monitoring. Contribute to white papers and strategic roadmaps to guide long-term development of intelligent aquaculture monitoring systems. Job Requirements: PhD in Computer Science
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bioengineering, aquaculture systems, and computer vision. Job Requirements: PhD or Senior Scientist in Bioengineering, Computer Vision, Environmental Technology, Biomedical Engineering, Aquatic Biology, or a
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of reports/papers and present in international peer-reviewed conferences and journals. To be involved in the mentoring of PhD/Masters/FYP students. Job Requirements: Preferably PhD degree in computer science
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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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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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, attending local and/or international conferences Mentor and supervision of undergraduate/ PhD students and junior research staff Key Competencies and Education Requirements: PhD in Biological Sciences, Food
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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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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior