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Field
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, robustness under varying turbulence, and autonomy for distributed systems. To address this, the group integrates Artificial Intelligence into AO control loops, using deep learning to handle sensor
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underlying sleep, a fundamental and evolutionary conserved behavior. We are studying the homeostatic and circadian mechanisms regulating sleep, and also have deep interest in understanding the functions
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from serial MRI scans in the future, which are processed using deep-learning techniques in the group of Prof. Boudewijn and Dr. Stoel. Your analyses will contribute to understanding how systemic and
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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opportunities, access to modern GPU clusters for deep learning research, and strong academic-industry connections. CADIA's commitment to open science aligns perfectly with this project's goals of creating
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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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experience: Deep Reinforcement Learning, DNNs/CNNs Federated and Decentralized Learning (Split Learning, Swarm Learning, peer-to-peer FL) Fine-tuning FMs/LLMs for domain-specific applications Generative AI