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Field
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cheminformatics or polymer informatics, molecular representations, descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion, interpretable machine learning, NLP, text mining
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’, increasing America’s security and prosperity by addressing its energy, environmental, and nuclear challenges in eight key science areas: Biology & Environment, Energy Science, Fusion & Fission, Isotopes
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matter physics, cosmology, particle physics and quantum physics. It has real‑world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic
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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will
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-based instruments for applications across a wide range of disciplines including adaptive optics, spectroscopy, biophysics, remote sensing, laser communications, and fusion diagnostics. We host the ESA
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-based instruments for applications across a wide range of disciplines including adaptive optics, spectroscopy, biophysics, remote sensing, laser communications, and fusion diagnostics. We host the ESA
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Cell Transplant and Regenerative Medicine Department of Pediatrics An opportunity is available for a highly motivated postdoctoral fellow who is interested in immunotherapeutic approaches for fusion
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, generative modelling, transport simulation, network modelling, or data fusion. Ability to work both independently and in interdisciplinary research teams. The following experience will strengthen your
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g