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to seamlessly integrate behavioral and imaging data into REDCap and export it as needed. Data Organization and Analysis Pipeline: Streamline data preprocessing through automated format conversions (e.g., CSV
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of optomechanical and imaging projects. The role will focus on the manufacture and design of optomechanical assemblies. Key Responsibilities: Manage the end-to-end effort for the design and production
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currently seeking candidates for research assistant. The appointed candidates will support the planning and execution of research projects alongside postdoc associate, PhD students, and RAs within
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. Set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in a form of
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all project deliverables are met. Undertake these responsibilities in the project: Conduct technology review of sensor technology Develop algorithms/models for engine health monitoring Develop prototype
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developing miniaturized medical imaging technology. Key Responsibilities: Lead the development of new bioimaging/therapeutic technologies and multi-functional approaches for translational medicine and biology
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Mathematics Position Type: Postdoc Location: NTU, Singapore Deadline: The position is open until filled Research positions in Statistical Learning at the School of Physical and Mathematical Sciences of NTU
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behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc). The Research Assistant/Associate will learn and assist with a range of work, including but not
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, AI and humans brainstorm, spar and prototype together, resulting in solutions that are elevated several-fold. This human-AI team concept has been made possible because of SUTD’s unique cohort-based
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(Singapore), Nanyang Technological University and National University of Singapore. Hosted by NTU, IDMxS is focused on development of core science to drive a paradigm shift in molecular detection and analysis