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Field
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people with subclinical and clinical disordered eating and related body image concerns and body image management efforts. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not
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Development Fund (ERDF) though the “Programa de Inovação e Transição Digital” (COMPETE2030), taking place at the Laboratory of Image and Video Technology of Faculty of Sciences of the University of Beira
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English PhD Research Fellow in Deep learning for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics
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, computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data
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you will need to evaluate all active thermography approaches for composites inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test
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hospital intensive care unit. The post holder will have primary responsibility for the development and evaluation of the system, and of the data processing and image display software. The post holder will
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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(“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 26 Oct 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5
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inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test of thermographic image processing tools and techniques (all applicable