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Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
at the University of Münster invites applications for two fully funded PhD positions in computational modelling of biological and functional material. The two projects address complementary questions in biological
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an interdisciplinary program that brings together Warwick Medical School and partners from the School of Engineering and Industry, combining machine learning and computational modelling to solve a
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foundation models and world models enable robots that understand instructions, interpret scenes and generate behaviours. However, most systems require huge datasets, extensive teleoperation, expensive compute
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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) for materials modeling validation of computational predictions in collaboration with experimental and modeling researchers publication and presentation of scientific results in leading international journals
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for age-related macular degeneration (AMD). Computational modelling enables researchers to integrate several types of biological data into a single framework, to test perturbations in silico, and to predict
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, differentiable rendering, optics, or photometric modelling) is desirable. An interest in interdisciplinary research at the interface of AI, computational imaging, and industrial optical design. We particularly
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: World Models for Software Architecture Synthesis (Constructor
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aim to develop an independent research programme at the intersection of Geospatial Artificial Intelligence, Remote Sensing, and Geospatial Data Science. The successful candidate will contribute