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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
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bioinformatics support, and training and networking supports through our leading role in the Canadian Islet Research and Training Network (www.islets.ca ). Duties Specific duties will depend on the project focus
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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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, or imaging approaches in animal models and human tissue. The successful applicant will be embedded in the larger Neuroscience community at UTSW and OBI, and will benefit from a network of collaborations with
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comparable estimates of health loss due to diseases, injuries, and risk factors worldwide. This role offers an opportunity to be part of a global network advancing data-driven health policy and research impact
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supporting country implementation of a suite of tools that have been developed by COP in partnership with WHO’s International Pathogen Surveillance Network – including a WHO costing tool for genomics
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as posters Deal with problems that may affect the achievement of research objectives and deadlines. This might include working with CRN networks to ensure recruitment target is met Carry out
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and visits to the UK Met Office. HEPPI-ML is one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking. The successful candidate will hold a PhD, or
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Duties The responsibilities may include some but not all of the responsibilities outlined below. Implement and test different Artificial Neural Network (ANN) architectures, such as convolutional and