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team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave
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. To 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 the form
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equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of RF will focus on developing ab initio theory and developing software to describe and study groundbreaking
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Responsibilities: Conduct programming and software development for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed
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software (e.g., STATA, SPSS, NVivo) Proven track record of publications in international peer-reviewed journals Preferred Skills and Attributes Excellent written and verbal communication skills in English
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. Demonstrated expertise in computer networks and/or software testing and/or software security and/or applied machine learning. Track record of strong R&D capability, with publications at leading cybersecurity
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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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and experience in fault diagnosis and analysis and protection systems will be advantageous • Knowledge of software such as PSIM, ETAP and MATLAB/Simulink • Prior knowledge and experience in
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Science 2018). Our research combines in vivo and in vitro experimental platforms to explore mechanisms of synaptic and neural network activity dysfunction in the human neocortex. Using human iPSC-derived
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data analysis (TDA) techniques such as persistent homology, with application in real data sets such as biomolecular data and network data Perform data preprocessing, feature extraction, and analysis