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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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biodiversity and sustainability research. The initial objective is to use deep learning techniques to perform acoustic species identification in real-time on low-cost sensing devices coupled to cloud-based
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
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Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in many real-life applications, including face recognition, automatic
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. This is indeed what AIC, BIC, MDL and MML would anticipate. And yet deep learning methods can often work despite this. This project investigates how deep learning can survive over-fitting and whether
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appear as black boxes such that they lack explanations for why and how a particular prediction is made. To address these challenges, this Ph.D. project aims to combine causal analysis with deep learning
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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direction. Strong analytical skills, with a deep understanding of industrial law and the capacity to interpret agreements, awards, and legislation. What we offer you Enjoy flexible hybrid working arrangements
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equivalent, excellent mathematical and analytical skills, excellent skills in machine learning (i.e., deep learning, PINNs) and AI, excellent communication skills (i.e., both written and verbal), the ability
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Science, Information Technology Engineering, or equivalent, excellent mathematical and analytical skills, excellent skills in machine learning (i.e., deep learning, PINNs) and AI, excellent communication skills (i.e., both written