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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative
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applications for a 12-month position as either a Research Assistant (Level 2) or Postdoctoral Researcher (Level 1) (depending on qualifications and experience), with a speciality in statistical image processing
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of files for EHS Liability Waivers, copyright transfers (for publications), and commercial-use image licenses. Research copyright status for archive materials as needed. Process and upload UMMP Data to Deep
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with archival best practices, including those related to research, processing, and/or digitization; basic familiarity with current approaches to digitization, image manipulation, file management, and/or
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omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis Experience in medical image processing and analysis (MRI, PET, digital histology, microscopy
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play. You will: Prototype interactive systems using digital fabrication, physical computing, and tangible interaction techniques Explore interactive materials and shape-changing artefacts and augment
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and moving images; professional setups and standard practices; post-production techniques, tools, and processes; instruction in basics of shooting, editing, output, and display; and, instruction in use
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directly at the edge. The postholder will investigate novel hardware–software co‑design approaches enabling AI‑driven video processing on energy‑harvesting devices under extreme power constraints
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Archiving and Communication System (PACS), applicable image upload software, and computer equipment to import images from digital media to PACS. Troubleshoots images and collaborates with Imaging Department
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and