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range of downstream tasks. Candidates will be requested to develop novel methodologies within the artificial intelligence framework for effectively and efficiently process image time series for semantic
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Honours degree in Physics, Engineering, Computer Science or related discipline (or equivalent) Essential Application PhD in medical image processing/analysis (or equivalent) Essential Application Experience
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 6 days ago
Marie Curie Doctoral Network 'AGILE' has got 15 open PhD positions: https://www.msca-agile.eu/ AGILE “Advanced Training for Next Generation Scientists in Spatio-Temporal Imaging of Plant Cells”, is a
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performance checks. Monitor scans and troubleshoot basic operational issues during imaging. Reconstruct CT scan datasets using appropriate reconstruction software. Perform image processing, segmentation, and
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interpretable approach that combines optical and electrical measurements on a single chip. Funding category: Contrat doctoral PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres
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optimal performance The PhD student will be supervised by Ida-Maria Sintorn, Professor in digital image processing, and Jens Sjölund, Assistant Professor in AI at the Department of Information Technology
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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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-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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synchrotron method: 2DµXRD imaging. We have recently demonstrated a proof of concept of this experiment4. The PhD aims at (a) increasing resolution of 2DµXRD imaging and (b) make this technique available