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-the-loop, decision-making for complex systems, optimisation for LLMs, foundation models, dimensionality reduction, deep learning, uncertainty quantification, language, and developmental robotics. About You
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system model new module integration, scenario simulations, and prognostics analyses Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: A
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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
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. Demonstrated success in developing innovative programs, strengthening teaching and learning outcomes, and expanding industry partnerships. Deep knowledge of at least one of the School's disciplines, with strong
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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and dedicated PhD-student funding. Subject Polymer Technology with a focus on Polymer Chemistry. Subject description Deep knowledge in polymer technology and polymer chemistry is crucial
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: Master’s degree in Electrical Engineering Ranked within the top 10% of their class in MSc and BSc, and have exceptional grades Good background in deep learning with familiarity in model training, inference
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record analysis, Spatial ‘omics, Reinforcement learning for healthcare, explainable AI, machine/deep learning, Bayesian machine learning, or causal AI. Skills Communication skills Required Documents Resume
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 2 months ago
representations (IR) to bridge deep learning frameworks with low-level hardware, ensuring the seamless evolution of existing software infrastructures. Additionally, he will act as a high-level technical expert
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an accomplished academic leader with a PhD in a field relevant to ITLS, and an established national and international research reputation, and the capacity to lead a high-performing institute. You will bring: deep