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Services is a centralized resource working collaboratively with the University community to transform UEL's digital landscape in line with the University’s Vision 2028 strategic plan. Engaging in ground
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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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, hydrology, physics‑based modelling, statistics, or remote sensing. Experience with Python, scientific computing, or geospatial data tools (e.g., GIS, satellite imagery processing) will help you hit the
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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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post-Soeharto Indonesia " 2016 - Science and Engineering James Louis Maino (School of BioSciences) "The importance of body size: scaling of physiological traits in insects" Ida Asadi Someh (Computing
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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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access to computing resources, conference travel support, and a structured researcher development program through the Graduate Research School. Faculty: Faculty of Arts, Society and Business Study area
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during cyclic injection processes using microfluidic experiments and pore-scale modelling. You will gain access to the advanced microfluidic fabrication facilities as well as high performance computing