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Field
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-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging, machine
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imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design
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relevant translational research questions. Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137109 Requirements Specific Requirements Applicants should have a PhD degree or
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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. General Requirements Candidates should have (i) a PhD degree in imaging science or related field or an equivalent
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to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD position: The duration of the PhD Research Fellowship is 4 years, with 25 percent of
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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the recruitment process, click here . Life as a PhD candidate at UiB Marion Claireaux tells about life and work as a PhD candidate at UiB. Where to apply Website https://www.jobbnorge.no/en/available
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the mechanosensitive processes and the mechanical properties of tissues that drive tumor malignancy and anti‑tumoral immune responses. This multidisciplinary project will combine: Biophysical techniques and image
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 13 days ago
in medical image processing, including segmentation, registration, and quantitative analysis of images (CT, MRI, or echocardiography), as well as the use of common scientific libraries (NumPy, SciPy