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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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or different stages in a dynamic process. In this PostDoc project, our aim is to visualize the life-cycle of Weibel-Palade Bodies (WPBs) in the context of disease using multi-beam EM (FAST-EM) with correlative
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 8 days ago
assessment of solid surface wettability). Advanced experience in digital image analysis. Specific Requirements An application. Completed and signed “Consent to the processing of personal data for the needs
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and grow into an independent scientist. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction
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19 Mar 2026 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Neurosciences Researcher Profile Recognised Researcher (R2) Positions Postdoc
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. Reviews study database to make sure all data has been entered. Running developed scripts from image processing and analysis under PI and Postdoc fellow supervision. Assessing basic cognitive function and
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. Experience in neurobiology of addiction, animal behavior (self-administration, stereotaxic surgery), and/or molecular techniques (PCR, western blot, immunohistochemistry). Experience in neuronal imaging is a
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/epifluorescence imaging, and basic image analysis. The role involves tissue processing and data collection across multiple projects, collaborating closely with students, postdocs, and senior lab members. Strong
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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/epifluorescence imaging, and basic image analysis. The role involves tissue processing and data collection across multiple projects, collaborating closely with students, postdocs, and senior lab members. Strong