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additive manufacturing. The role will focus on thermal field modelling, multi-physics numerical simulations, machine learning and process parameter optimization. We expect the candidate to use data-efficient
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element simulations. An interdisciplinary facility that houses an extensive set of equipment and instrumentation for materials scientists, electrical engineers, computer engineers, chemists, applied
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progressed to the selection stage following the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact ClinMed
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 19 days ago
the computational work. Researchers in the group have experience with crystal plasticity using finite element and fast Fourier transform methods, fatigue indicator parameters, process modeling and machine learning
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hardware, operating systems (Windows and macOS), and standard software applications Essential Application/Interview Experience troubleshooting and resolving common technical issues with hardware, software
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research staff, it conducts routine elements of research work that requires the use of skills, technical and academic knowledge to follow established procedures, and record results. Manage lab inventory
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to represent and interpret biological imaging data, enabling new scientific discoveries. Responsibilities include designing interpretable end-to-end machine learning frameworks to explain biomolecular condensate
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to train a machine learning tool. This will enable rapid integration, feedback and process optimisation without the need to directly run the core finite element models at every step, making the framework
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computational and/or statistical element together with expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics, and single-cell immune repertoire analysis. You will
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. About You You will hold a PhD/DPhil with a significant computational and/or statistical element together with expertise in bioinformatics analysis of omics datasets, including single-cell and spatial