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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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security Experience with medical datasets, medical images, or clinical text Knowledge of explainable AI methods Experience with NLP, computer vision, or multimodal learning Nice to Have Background in digital
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security Experience with medical datasets, medical images, or clinical text Knowledge of explainable AI methods Experience with NLP, computer vision, or multimodal learning Nice to Have Background in digital
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Spectral Encoding. Develop advanced neural architectures (e.g., adapted Vision Transformers or 1D sequence models) capable of fusing multiple distinct analytical "views" (e.g., combining MS2 and NMR data
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Spectral Encoding. Develop advanced neural architectures (e.g., adapted Vision Transformers or 1D sequence models) capable of fusing multiple distinct analytical "views" (e.g., combining MS2 and NMR data
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edge data processing methods for mobile MRI scanners and testing in clinical enviroment. Required knowledge Excellent programming, image processing, optimisation background Affinity to work across
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profilers. Required knowledge Required Knowledge Essential Strong programming skills in Python Good understanding of machine learning and deep learning Basic knowledge of natural language processing
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profilers. Required knowledge Required Knowledge Essential Strong programming skills in Python Good understanding of machine learning and deep learning Basic knowledge of natural language processing
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Scheduling : Example: For non-urgent data processing, SmartScaleSys (S3) could prioritize tasks during off-peak hours when renewable energy sources are more available, reducing carbon emissions
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for Markov Decision Processes. The application areas are different problems in text processing, including (bu not limited to) machine translation and summarisation. Our previous work in this area