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programme Reference Number C644914747-00000023 Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship (BI) for a PhD Student Ref. 1149.5 - 1 BI
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience
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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Researching and developing novel machine learning architectures for integration across
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, including aspects of scalability, performance, and ergonomics; 3. Technical and architectural specification of the system and data acquisition and integration processes; 4. Design and conception of the ground
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learning and cloud-based architecture skills to lead the fine-tuning/training, design, development, and integration of the AI components of the AiCT-Med platform. Candidates from diverse backgrounds in AI
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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://www.medschool.umaryland.edu/carti/ Qualifications Qualifications: Minimum qualifications: Candidates should be close to obtaining a PhD, or have obtained a PhD within the past five years, in genetic epidemiology, statistical
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The fellowship is available to assist an Honours, Masters or PhD student who is interested in studying any of the collections held in the Fryer Library, University of Queensland, to support their