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; The characterization of decidualization and remodeling mechanisms in a 3D cell culture model using bulk and single-cell transcriptomics and epigenomics; The identification of genes and genomic elements co-evolving with
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
proficient in 3D scale model construction and hand and digital drafting practices. Experience with VectorWorks or SketchUp is considered an asset. Additional assets include experience in scenic painting, props
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. Maintain laboratory kits, robotic subsystems, and test/fabrication equipment, such as oscilloscopes, 3D printers, computer networks, and camera systems. Develop schematics and engineering drawings, use
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. The fellowship is due to start in July 2026. . WORK PLAN: The candidate must complete a PhD in accordance with the following plan: A. Development and optimisation of a 3D printer incorporating plasma technology
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and technology-enhanced learning (e.g., simulation, digital anatomy platforms, 3D imaging) Lead student-centered learning sessions across lecture, prosection, small group, and laboratory formats
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supporting documentation, proven experience in all of the following areas: Computer vision and video processing (ingestion, ROI, 2D/3D keypoints, heatmaps); Deep learning and temporal modelling (CNNs
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expenses For more details, please see https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . Purpose This position is part of the McDonald Observatory's
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
with 3D, IMRT/VMAT, SBRT treatments on a single Elekta Infinity linear accelerator. Shared resources: Clinical treatment planning systems (TPS) include Raystation TPS, Accuray Precision TPS
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not limited to the advanced 3D printers, CNC machines, waterjet and fiber laser in MakerSpace-managed spaces, as well as supervising and supporting student trainers. They work with students, faculty and
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of new data-driven 3D X-ray inspection techniques for industrial quality control. The project is foundational in nature, while at the same time exploring applications in collaboration with industry