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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
transformed noninvasive cardiac assessment through physics-based modeling and AI-driven quantification of coronary physiology. His research program focuses on: Image-based modeling of coronary anatomy and
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address these questions using TFE3-rearranged renal cell carcinoma (tRCC) as a unique model of transcription factor-driven cancer. The successful candidate will combine mechanistic molecular biology
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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Computational Postdoctoral Fellow to join the Quantitative Modeling Group led byHéctor García Martín
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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | about 2 months ago
Help Define the Future of AI Neuroscience - Postdoctoral Fellow Yale School of Medicine | Adams Center for Parkinson’s Disease Research | New Haven, USA Join a mission-driven team at Yale to build a
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, reinforcement learning, simulation, and counterfactual analysis. Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers. Ontological engineering, knowledge
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multidisciplinary team of scientists and engineers working at the forefront of hydrogen materials research. The project will focus on the optimisation of metal (complex) hydrides and the development of advanced solid
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angle measurement, electrochemical analysis, ion chromatography, ICP-OES/ICP-MS, etc. Experience or interest in AI-assisted analysis, data-driven materials development, computational modelling, and/or
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in vivo experiments using genetically engineered mouse models and disease models of muscular dystrophy. · Apply genomic and biochemical approaches to define transcriptional regulatory
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. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
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• Integrate diffusion models for visualisation and content generation • Support text-to-scene and voice-to-scene workflows • Implement in real-time engines (e.g., Unity/Unreal) 3. Platform & Workflow