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Field
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activities. You must have a PhD or equivalent in Biology, Palaeontology or another relevant subject area and proven knowledge of mammalian anatomy and evolution. Experience in working with morphological image
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. The regulation will be applied in the processing of the applications. The following applies to the PhD position About the PhD position: The fellowship will be for a period of 3 years, with the possibility for a
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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-time research experience since their PhD completion. We are looking for candidates with a PhD and a strong background in PET imaging, particularly with demonstrated expertise in the processing and
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the academic promotions process. About You Completion of a PhD in Molecular Bioscience, and/or Cell Biology. An emerging profile in research in the discipline area. Evidence of publications in reputed refereed
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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We seek a Research Associate/Fellow to work on the synthesis and application of stimuli- responsive biomaterials within a recently awarded UKRI project “Ultrasound-Guided Activation and Imaging
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measurements: transepithelial resistance, muscle contraction Inflammation level measurements: RT-qPCR, ELISA, bioplex Immunocytochemistry, imaging and 3D reconstruction Flow cyrtometry Single-cell transcriptomic
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/Qualifications We welcome applications from researchers who: Hold a PhD in neuroscience, biomedical sciences, physics, engineering, or a related field Have experience in brain imaging (e.g functional ultrasound
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Program and will work closely with the staff of the Image Collection and Fieldwork Archives (ICFA) to process the Justin Kerr Collection, which consists of photographs of approximately 6,000 unique