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endoscopy, this is the right research project for you. The PhD research project aims to explore and develop probes for ex-vivo and in-vivo applications for tissue imaging, classification and identification by
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Bonus but not required Experience in imaging or spatial omics data
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Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Bonus but not required Experience in imaging or spatial omics data
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a quantitative understanding of the interactions between the nanomedicine and cellular membranes. The PhD position will work under supervision of Prof. Daniela Kraft, whose group is embedded in
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University), headed by Prof. Dr. Alard Roebroeck, under daily supervision of Dr. Sven Hildebrand. Research at the Department of Cognitive Neuroscience is embedded into the Maastricht Brain Imaging Centre
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electrode structures. • Prototyping of the identified structures via stereolithographic 3D printing and advanced textile techniques. • Development of advanced imaging and characterization technologies (X-ray
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 19 days ago
of Prof. Dr. Stefan W. Hell invites applications for a PhD position at the intersection of optics, molecular biology and biophysics. Opportunities are available in Göttingen or Heidelberg for motivated
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will work on scene understanding using RGB and possibly thermal and radar images, including based on object detection and image segmentation, and collaborate effectively with other technical partners who
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new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise