423 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Singapore
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students. Job Requirements: A Bachelor’s degree in relevant fields with past experience in embedded system, machine learning and software development. Knowledge in robotic system development is a plus
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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Develop instrumentation and fixtures for the automation. Capabilities in advanced finite element or machine learning tools for process optimisation Disseminate the research outcomes into Journal
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in Communication, Human-Computer Interaction, Information Science, Psychology, or a related field. At least 1 year of relevant experiences in doing research in a relevant field. Familiarity with social
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Subject. For more details, please view: https://www.ntu.edu.sg/ase . We are inviting applications for a Research Assistant (6-8 months) to help with fieldwork, labwork and administrative tasks within
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. Experience in artificial intelligence or machine learning approaches applied to materials research will be considered a plus. We regret to inform that only shortlisted candidates will be notified. Hiring
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to groom the next generation of leaders, thinkers, 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
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure