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project - “Adaptive interleaves for sustainable, out-of-autoclave manufacturing of high-performance CFRP structures in large aircraft”. Qualifications Applicants should have a doctoral degree in Materials
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, computer science, or a related field Strong analytical, quantitative, and coding skills (particularly in Python) Experience handling and analysing large-scale biological datasets Track record of writing papers as
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with colleagues developing simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability
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large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual
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. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be advantageous. You will be a highly
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processes. Previous experience with data assimilation and numerical modeling will be regarded as positive in the selection process. Experience in automated processing of large data volumes. Experience with
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The department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth of biological questions and
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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29 Aug 2026 Job Information Organisation/Company Tokyo University of Science Department Division of Molecular Biology of Aging, The Research Institute for Science and Technology (RIST) Research
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across the project, with a particular focus on Work Package 3, which explores how social networks and schooling shape individual outlooks. This work will involve analysing large-scale social network data