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qualified Research Fellow to join our research team on the project titled “An Integrated Multimodal Quantification Method to Designing Landscapes for Well-being”. This project aims to extend upon previously
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, TEM, XRD, AFM, XPS). Machine learning methods. High-throughput experiment design and data analysis. Scientific writing and communication. Data processing and visualization software (CrystalMaker
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Responsible for developing LC-MS method for structural elucidations of natural carbohydrates Perform chemical biology assays to evaluate the bioactivity of natural and synthetic carbohydrates Job Requirements
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the Department of Materials Science and Engineering at National University of Singapore under the direction of Dr. Jing Yan and Dr. Peichen Zhong. This role involves using computational methods, including DFT
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to the terrestrial carbon cycle. Implement advanced statistical method to explore the vegetation dynamics. The formulation and testing of ecological hypotheses on vegetation dynamics. Presentation of results
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applications and funding opportunities; Provide guidance and training to undergraduate/graduate students and junior researchers in laboratory techniques and research methods; Present research findings in
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and materials processing methods for solid cooling devices. The candidate will play a crucial role in solid state chemistry synthesis, vacuum sealing, processing, characterization, property evaluation
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various assessment methods and advanced statistical techniques, including ecological momentary assessments (EMA), ecological momentary interventions (EMI), micro-randomised trials (MRT), and other trial
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experimental methods. Oversee and report project progress. Ability and willingness to work some flexible hours. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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development. Familiarity with popular path planning algorithms such as RRT, A*, and optimization-based methods. Hands-on experience with simulation environments such as Gazebo and Unity3D. Excellent verbal and