142 postdoctoral-image-processing-in-computer-science-"U" PhD positions at Nature Careers
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"Multiscale imaging of organ-specific inflammation" (https://www.uni-muenster.de/CRC-inSight/research/area-A/A05.php ). Within this Centre, we are working together with Computer Science and Applied Mathematics
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angiogenesis and stress. We are seeking for 2 PhD students (m,f,x) (E13 TV-G-U 65%) for two projects with a focus on “Epigenetic nuclear regulation by lipids and non-coding RNAs” Life Science, Biochemistry
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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instruments (e.g. Thermo Orbitrap technology). Experience in using (AP-)MALDI technique for analysis and imaging. Experience in LC/MS for targeted or untargeted studies is an asset Ability to execute research
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Biology, Biomedical Imaging, Biochemistry, Physics, or a related field A strong interest in biomedical imaging, contrast agent development, immune cell tracking, and data analysis Previous experience with
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at the Computational Imaging Research Lab (CIR) and the Department of Cardiology at the Medical University of Vienna and the Visualization and Data Analysis Research Group (VDA) at the University of Vienna. Your Tasks
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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THE UNIVERSITY OF LIVERPOOL FACULTY OF SCIENCE AND ENGINEERING SCHOOL OF PHYSICAL SCIENCES DEPARTMENT OF CHEMISTRY POSTDOCTORAL RESEARCH ASSOCIATE IN THEORETICAL CHEMISTRY GRADE 7, £39,355 – £45,413
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Structural Biology, Immunology, Cell Biology, Neuroscience and Synthetic Biology www2.mrc-lmb.cam.ac.uk/students/international-phd-programme/projects/. PhD students at the LMB are affiliated with
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages