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-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficiency. This research proposes a sustainable, high-performance IDS that leverages digital twin technology
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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the reliable production of high-purity radionuclides through operation and maintenance of analytical instrumentation, implementation of SOPs, and support for method development and process improvement within a
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Your Job: This PhD project aims at relating precisely timed spike constellations across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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disciplines (meteorology, environmental science, high performance computing, software development and data science). Your Profile: Mandatory qualifications are: M. Sc. degree in meteorology, physics
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for this position please submit the following documents, via this Interfolio link: https://apply.interfolio.com/178111 Applications not submitted through Interfolio will not be reviewed. Candidates who do not upload
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cutting-edge computational methodologies, contribute to high-quality publications, and foster partnerships across academia and industry. Assist in designing and implementing computational approaches
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through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL’s other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https
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programme only funds projects in the artistic field of the Performing Arts (Drama, Theatre Directing/Theatre Dramaturgy, Musicals, Performance Studies, Dance, Choreography). Other DAAD scholarship programmes