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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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requires a deep understanding of the solvents involved, such as highly concentrated aqueous or non-aqueous electrolytes. Accurate modeling of these systems relies specifically on the knowledge
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Research Associate - Livestock Spatial Modeler The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work
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The Institut de Physique Theorique (IPhT) invites applications for a junior-level permanent position in physics. The position is opened for researchers working on phenomenology of the standard models of the two
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models that support operational analytics, strategic reporting, automation, and emerging AI-driven insights. This role is critical to enabling data-informed decisions across academic, administrative, and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description he project aims to develop a data-driven model to
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disease modelling skills to join our team. About the project The ultimate goal of this project is to develop and apply advanced human iPSC-based models to study complex genetic architecture
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physics-integrated machine learning models—to predict, analyze, engineer, and understand microbial community dynamics. Applications span precision medicine and built environment microbiomes, with a strong
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electroacoustic musical composition, generative algorithmic models and computational complexity” is designed to provide students with advanced and interdisciplinary training, integrating music theory, composition
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to develop an aeromedical dispatch management software as a technology hub that provides data-driven prediction model and an automated dynamic decision model. The successful candidate will be responsible