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an outstanding researcher whose prime interest involves the following research areas: Statistical Genetics / Omics Spatial Statistics Functional Data Analysis AI / Machine Learning in the healthcare space Or any
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informatics approaches (e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication
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spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication (oral and written) and interpersonal skills, experience working in a
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in soft robotics. PI is seeking to recruit a talented postdoc with a creative mindset and appropriate skillsets to deliver the project of soft grippers, particularly on coatings and interfaces
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of projects in the lab or assisting PI/postdoc with the projects, so prior research experience is necessary. In particular experience in the areas of molecular and cell biology will be favored
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, international workshops and seminars Plan and coordinate visits for eminent professors, promising young visiting scientists and postdoc fellows, while developing programs to enhance their engagement with the NTU
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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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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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relevant publications in reputable peer-reviewed international journals and conferences. A good track record of supervising research staff, postdocs, students, and interns in relevant fields Experienced in
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research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists. Qualification, Skills, and Experiences: PhD (for postdocs, preferred) or M.S./B.S. (for strong