251 postdoctoral-image-processing-in-computer-science-"U" Fellowship positions at Nanyang Technological University
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. Provide logistical/administrative support pertaining to laboratory operation for the project. Job Requirements: PhD degree degree in either material science or applied physics or relevant subject from well
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Engaging in scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mathematics, physics, computer science, or a
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to the broader goals of sustainable waste management. Job Requirements: PhD in Chemical Engineering, Environmental Engineering, Chemistry, or a related field. Proven experience in hazardous waste processing
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physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics
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within/outside of research group, using appropriate presentations format Key Competencies and Requirements: PhD degree in bioinformatics or statistical genetics, computational biology, or related field
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with a multidisciplinary team to advance the field of embodied intelligence. Publish high-quality research in top-tier conferences and journals. Qualifications: Ph.D. in Computer Science, Robotics, AI
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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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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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