257 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at Nanyang Technological University in Singapore
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to independently acquire skills related but not limited to: next generation sequencing (particularly methylation analysis), population (epi)genetics, statistics and bioinformatics, high dimensional data analysis
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). Plan and draft cross-project analyses, synthesis sections, and learning summaries to disseminate CRCD research findings through publications and events (e.g., journal sections, pre-conference sessions
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audio workflows Familiarity with VR/360 production (or strong willingness to learn) Strong organizational and communication skills Ability to work independently and collaboratively Qualifications Holds a
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be a part of our collaborative and multi-disciplined team. Together we will learn, grow and make new discoveries of how the brain works. Come and join us. Key Responsibilities: Plan and execute
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prototype and we are interested to hire an applicant who is: Good team player with strong interpersonal skills Keen in learning new skills and knowledge in multidisciplinary fields of engineering and medicine
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learning in Singapore classrooms. Research will focus on a series of Designated Subject Domains, which include English Language, English Literature, History, Humanities, Geography, Mathematics and Mother
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learning”. As a Research Fellow, you will be supporting the Project Lead to deliver the project, ensuring that the overall project output meets the requirements. These range from fundamental technical
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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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, Chemical Engineering or related disciplines. Careful and systematic in laboratory work. Reliable and able to follow experimental protocols. Willing to learn and work independently after training. Preferred
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of “Research Assistant” for a research project related to statistical learning of time-series models. The successful candidate will work with Hemant Tyagi (NTU Singapore) and Chew Lock Yue (NTU Singapore) in