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(e.g., PyTorch, TensorFlow, JAX), and scientific libraries (e.g., NumPy, SciPy, scikit-learn) Familiarity with medical images such as x-ray, CT, or fluoroscopy. Proficiency in Python coding language and
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, laser-induced pattern formation or self-organisation, pump-probe or ultrafast imaging techniques, plasma diagnostics, hands-on work with ultrafast laser systems. Strong scientific communication skills in
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period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research
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experience in the document image analysis field. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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objective of this project is to compare the modern philosophy of Bildung and the contemporary paradigm of the Learning Society (LS) by systematically analyzing their homological structures. Through
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studies and have generous access to a Titan Krios G3i Cryo-TEM equipped with a K3 direct electron detector, imaging phase plates, and an image spherical aberration corrector. In addition, our labs have
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very-long-baseline interferometry (VLBI) system, named VLBI Global Observing System (VGOS) by (1) deriving structure images of the Active Galactic Nuclei (AGNs) directly from VGOS observations, (2
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 20 days ago
Job Code: 27-25 Job Offer from September 30, 2025 The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 19 days ago
opportunity in computational inverse problems in the context of the ERC-StG European project Incorwave which aims to develop advanced numerical and mathematical strategies for passive imaging. This postdoctoral