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society. The Department of Psychosis Studies is one of the world’s leading centres for research into psychotic disorders. It is part of the School of Academic Psychiatry. Our mission: we aim to advance
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. The postholders will develop advanced modeling techniques to create privacy preserving realistic data, and predict disease trajectories, outcomes, and other clinically relevant endpoints. They will also explore and
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gastruloids, organoids, or related 3D stem cell models Proven skills in advanced imaging and quantitative analysis of dynamic processes Interest in interdisciplinary approaches at the interface of biology and
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
background in computational modeling, data analytics, and/or automation in construction or infrastructure management. Demonstrated research excellence through peer-reviewed publications. Experience with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
and generative models. Develop novel algorithms for generative modeling tasks and optimize LLM/GPT-like models on large datasets. Stay abreast of advancements in language modeling and generative AI
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mitigate turbulence under diverse urban layouts and meteorological conditions. To achieve this, the project explores advanced machine learning approaches, including surrogate modeling and reinforcement
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collaboration with Growgraph, an R&D startup engaged in advancing knowledge graph technologies and AI-driven methods for structured data analysis. This partnership aims to foster the transfer of research outcomes
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Electromagnetic (EM) Theory / Modeling Position Title: Postdoctoral Scholar Position in Mathematical Physics and Electromagnetic (EM) Theory/Modeling Position Type: Fixed Term (Fixed Term) Applications will be
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spectroscopic observations with theoretical models and synthetic advances, contributing to the broader effort of designing next-generation quantum and optoelectronic materials. Ideal candidates will have a strong
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their acoustic and thermal properties Developing and optimizing numerical models to simulate the performance of thermoacoustic microdevices Designing, fabricating, and experimentally testing prototype