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analysis and application of machine learning techniques to structured numerical and unstructured textual data; (d) have a good track record of academic writing, including report writing, manuscript
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of polymers (PBF-LB/P) 3D printing. The role involves robot arm programming, path planning, and printing parameter optimisation to fabricate large-scale, complex, high-performance structures for industries
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mRNA, circRNA, LNP, or viral-vector technologies Protein expression, purification, structural biology, or protein engineering Monoclonal antibody generation and characterization Immunological assays
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this position will perform technical work that underpins the scientific research of the collaboration. A postdoctoral fellow is sought for a position in Structural Engineering to contribute to cutting-edge work
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the role or structure written responses. However, applications must reflect the applicant’s own work and experience. AI tools should not be used during interviews or assessment activities unless this has
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of the research team. The role will involve contributing to the structural analysis of the study area through the integration of surface and subsurface datasets. This will include synthesising existing
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. • Strong proficiency in Python, FastAPI, and PostgreSQL. • Hands-on experience with LLMs, vector databases (e.g., Pinecone), and NLP tools. • Familiarity with clinical trial data structures, academic
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cycle. To achieve the goal, Terascale will build building a Foundation Model (FM) for surface science, including the construction of next-generation, resource-efficient AI models to accelerate
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imaging problems in New Zealand, where indirect geophysical measurements provide a critical source of information about hidden subsurface structure. This position is based at the University of Otago in
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testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and