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TensorFlow or PyTorch Knowledge of neural networks – especially convolutional neural networks (CNNs) Understanding of image processing techniques – including filtering, edge detection, and image segmentation
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Neural Networks Pioneer Award, a National Experienced Researcher of the Year Award, multiple National New Researcher of the Year Awards, National Innovation & Entrepreneurship Awards, and several Best
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Practical experience in working with MATLAB/Python/R Knowledge of Graph Neural Networks, Transformers, or probabilistic modeling Experience with distributed or edge AI systems We offer: 4-year PhD position in
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-order modelling, surrogate models, and machine-learning methods such as neural networks. Control design for flexible reactor operation. Develop advanced control strategies that enable safe and efficient
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(e.g. extreme value analysis) to identify patterns of marine extremes and their spatial and temporal characteristics; developing machine and deep learning models (e.g. convolutional neural networks
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
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Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science Infrastructures Didactics of Informatics Digital
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machine learning frameworks such as recurrent neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection