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Field
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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. Conduct laboratory-based research involving sample collection development of high-throughput assays and virological experiments both in vitro and in vivo. Coordinate and maintain administrative paperwork
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or orthotopic tumour models Supporting preclinical treatment studies involving standard-of-care or experimental agents Applying in vivo imaging techniques (e.g., bioluminescence imaging) to monitor tumour
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate, under general supervision, works with a multidisciplinary team on clinical studies to develop aging in
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a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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(MAO) targeting the following cloud-based platforms: Microsoft Azure, Google Vertex AI, or AWS Bedrock. Successful candidates will join one of the project teams building an agentic system called
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patients Obtain a relevant health and medical history Perform physical examination based on age and history Identify actual and potential health problems and needs Formulate the appropriate diagnoses based
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-Based Generative Models: How can we fundamentally redesign generation processes for superior efficiency, controllability, and quality? We are exploring diffusion models, flow-matching, and other parallel
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the MATSim agent-based transport simulation framework. The main task is to enable simulated agents to choose transportation modes, such as car, bus, bike, or walking, based on real-time feedback from