405 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" Fellowship research jobs in Singapore
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control, data analysis, and dissemination of results through publications, reports, and IP contributions. The Research Fellow is expected to work, generate ideas and experimentally prove them both
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an emphasis on technology, data science and the humanities. The Pavesi Lab at Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University, develops advanced human microphysiological
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and proficiency in using laboratory equipment. • Ability to work independently and as part of a multi-disciplinary team. More Information Location: Kent Ridge Campus Organization: College of Design
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical tools where appropriate
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with knowledge of metal 3D printing and hybrid construction. • Preferably with knowledge and skills in AI. • Open to fixed-term contract. More Information Location: Kent Ridge Campus Organization
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. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements. This role
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The Wee Kim Wee School of Communication and Information (WKWSCI) at Nanyang Technological University (NTU), Singapore, invites application for three Research Fellow positions. NTU is a global leader
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context