642 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Nanyang Technological University 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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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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The National Institute of Education invites suitable applications for the position of Research Assistant on a 17-month contract at the Learning Sciences & Assessment Department . Project Title
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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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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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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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. 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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As a key member of the Learning and Talent Management Team within NTU’s Office of Human Resources. This role is instrumental in building NTU’s organizational and workforce capability to cultivate a
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an emphasis on technology, data science and the humanities. We are looking for an experienced individual to drive the effective use of digital tools and technologies to enhance the learning experience