201 programming-"Multiple"-"Prof"-"Embry-Riddle-Aeronautical-University" Fellowship positions in Singapore
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that are relevant to industry demands while working on research projects in SIT. This role supports the Future Ship and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation
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) at Duke-NUS Medical School is seeking a Research Fellow to support the ongoing “Future Health Technologies” (FHT1) research programme. FHT1 is dedicated to developing innovative, scalable digital solutions
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sustainability program. The successful candidate will support research and coordination efforts within a multidisciplinary sustainability program, focusing on life cycle assessment (LCA) to evaluate
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (HSSR/TJ) Posting Start Date: 08/07/2025 Job Description: Job Description The Signature Research Programme in Health Services
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ability to work independently and facilitate projects with minimal supervision. Able to contribute to Journal/Conference papers with good presentation skills. Able to plan and organize well and adhere
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spoken communication. Good team player across multiple disciplines. < 5 years work experience after obtaining a PhD degree More Information Location: Kent Ridge Campus Organization: College of Design and
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of nanomaterials. Programme and manage research activities, including experimental design, data analysis, and interpretation, ensuring alignment with project goals and timelines. Develop and implement machine
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral
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communication, or signal processing. Proficiency in programming languages like Python, MATLAB, or C++, and experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. A proven track record of