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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
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strong desire to contribute to societal and economic transformation through applied research and education. Excellent writing and communication skills; able to synthesize complex ideas and engage diverse
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the industry ecosystem, IHLs and centers. Involve in healthcare industry engagements, help to bring in higher value-added projects for the centers in SIT, Polytechnics and ITE. Leverage strong industry networks
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. Experience in commercial CFD package such as ANSYS package is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT, Meshing tool and post-processing software
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: Undertake these responsibilities in the project: i. Design and optimize NGS library preparation protocols for low-quality and low-yield DNA derived from complex fuel matrices. ii. Conduct laboratory
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. Experience in commercial CFD package such as ANSYS package is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT, Meshing tool and post-processing software
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and have sufficient experience in using ANSYS FLUENT, Meshing tool and post-processing software. Knowledge and interest in urban farming will be advantageous and willingness to work on plant growth with