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About us: The applicant will join the Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will
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-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and
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) Familiarity with image transforms, entropy coding or noise characterisation Funding and Eligibility: Funded PhD. UK Student Supervisors Dr Jay Warnett (WMG) Dr Randa Herzallah (Mathematics)
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 4 hours ago
Job Code: 2603 Job Offer from April 16, 2026 The Max-Planck-Institute for Neurobiology of Behaviour – caesar (MPINB) is a neuroethology institute located in Bonn that studies how the collective
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employment. Starting date: 09.04.2026 Job description:PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 987 - 2026/WP 1 Work location: Hamburg Application deadline
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
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methodologies including in vivo calcium imaging, optogenetics, electrophysiology, and molecular approaches. The work will be conducted in an international and collaborative research environment, offering
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Denoising Methods for Dual-Tracer PET Imaging Positron emission tomography (PET) is often used to diagnose
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to develop a hyperspectral DUV imaging system for applications in microscopy in the context of chiral light-matter interactions at the nanoscale as part of our team at the VU Amsterdam (matzlab.com
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) at Vrije Universiteit Brussel (VUB) is looking for a highly motivated PhD student to conduct research under the supervision of Prof. Jef Vandemeulebroucke in the field of medical image analysis and