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a global leader in research. The School of Infection and Immunity https://www.gla.ac.uk/schools/infectionimmunity/ is driving innovation in immunology, parasitology and infectious disease, a combined
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will be systematically and efficiently integrated and evaluated in the ALS research field – from cognition, to imaging, electrophysiology, digital technology, wet-lab markers in blood and cerebrospinal
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Learning and Computer Vision Objetives: This work aims to study, develop and implement computer vision methods to detect and classify areas with imaging alterations from MRI and CT scans
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focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum processes
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processing software Be thorough Be organised in your work Be independent Hold a PhD Experience in the civil service would be appreciated Where to apply Website https://www.aplitrak.com/?adid
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at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
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Reference Number AE2025-0420 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0420.pdf CALL FOR
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imaging of energy storage materials, with the focus on detection of light elements and monitoring of electrochemical processes. The research will be conducted primarily at the accelerator facility
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diagnostics and therapeutic strategies. Position Status Full Time Posting Number 25FA0561 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience · PhD in Biomedical
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of living cells and single-molecule visualization of proteins, providing new insights into biological processes. Applied research targets cancer diagnosis and treatment, leveraging nano-imaging technologies