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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
programme Reference Number AE2025-0564 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0564
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interdisciplinary radiology and mammary surgery sections for efficient patient pathways. A dedicated mammary coordinator organises cancer screening processes. The role involves imaging diagnostics (clinical
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of pollen morphology in response to evolutionary transitions between wind- and insect-pollination modes. You will collect, prepare, image, and post-process pollen samples from herbarium collections worldwide
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sitting at a computer workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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College:College of Liberal Arts & Sciences Department:School of Art, Art History, and Design Salary Salary:$40,000.00 - $40,000.00 Position Details Full/Part Time Status:Full Time Position Description: Grant Wood
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, 2025 College:College of Liberal Arts & Sciences Department:School of Art, Art History, and Design Salary Salary:$40,000.00 - $40,000.00 Position Details Full/Part Time Status:Full Time Position
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23 Dec 2025 Job Information Organisation/Company Fundació Hospital Universitari Vall d'Hebron- Institut de recerca Department Research Department Research Field Biological sciences » Biology
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of Radiological Sciences at the University of California, Irvine, anticipates openings for a postdoctoral fellow in the TRUE Lab (https://truelab.som.uci.edu ). We are seeking a creative, dedicated, and
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, Electrical Engineering, Computer Science, or a related field. Strong foundation in biomedical signal processing and hands-on experience with clinical data. Knowledge of information theory, sampling theorems