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Field
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MRI studies Perform image analysis and postprocessing using neuroimaging softwares such as SPM, CONN, BrainVoyager, EEGlab and NIRSlab, etc Apply programming skills in E-Prime, MATLAB, PsychoPy and
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in using Computational Fluid Dynamics (CFD). Experience simulating complex fluid dynamics processes, preferably multiphase reactive flows, using and especially customising CFD software is an essential
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machine learning models with respect to accuracy and uncertainty quantification. - Developing software to implement the goals stated above (most likely in Python). - Disseminating results
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Support the Science Delivery stream of the international SKA Regional Centre Network (SRCNet) by liaising with scientists and translating research needs into system and software requirements. Provide
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scientists and translating research needs into system and software requirements. Provide science support to priority projects, contribute to documentation, and assist with user systems, services, and community
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passionate individual contributing to NTU education environments A highly dynamic person inter-disciplinarily trained in AI, VR, and edu tech An experienced developer designing AI and VR for Education tools
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simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental
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data Ability to mentor and develop bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and
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field and software architecture. Applicants are invited to contact Prof. Shuangxia Niu at telephone number 2766 6183 or via email at eesxniu@polyu.edu.hk for further information. Conditions of Service
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journals and conferences in relevant areas. Software programming skills To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where