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SW137 Is the Job related to staff position within a Research Infrastructure? No Offer Description Diagnostic Imaging in Värmland is a dynamic and technically advanced operation encompassing radiology
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or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software engineering
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diagnostic imaging physicist, and 1 nuclear medicine physicist/RSO. This position will provide clinical service to the Network Department of Radiation Oncology. The UVM Medical Center (UVMMC), the network hub
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biostatistical analysis. Process imaging data to perform blood flow analysis. Maintain Aortic Center database. Discuss the results with the PI and other lab members. Attend/present at seminars and conferences, and
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sensing for diverse manipulation tasks. The project is funded by the UKRI EPSRC through Dr Shan Luo’s Open Fellowship, TacDiff, which develops a new paradigm for data-driven design of tactile robots using
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23 Mar 2026 Job Information Organisation/Company Universidade da Madeira Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Apr 2026
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-laboratory.com/ Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID): https://www.cuimc.columbia.edu/news/new-columbia-center-will-leverage-ai-enhance-patient-care Department
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 9 days ago
German level (C1) • Experience and skills in the application of modern imaging technologies (e.g. µCT methods) in the representation of biological processes in infection medicine) Main Research Field
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 13 hours ago
synapses with specific plastic properties. This process coincides with transient downregulation of the AMPAR trafficking protein GRIP1. Selective deletion of GRIP1 in PV neurons (PVGRIP1 KO mice) led to long
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will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI