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Computational Fluids Dynamics (CFD); Well informed and knowledgeable in CFD modelling; Highly experienced in using environmental simulation tools, such as ANSYS FLUENT, OpenFOAM or other similar programs; Highly
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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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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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applications, plant-based bio-material applications, etc. We are looking to hire a Research Fellow. Key Responsibilities: The primary objective will be plan, monitor, and perform experiments within the scope
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neuroimaging experiments, proficient in image processing and programming paradigms. The successful candidate will contribute to ongoing multidisciplinary research and play an active role in developing novel
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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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for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded
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, or a related field. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands-on experience with
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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