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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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My research focuses on strongly interacting quantum systems at the interface between condensed matter physics and ultracold atomic gases. In particular, I am interested in the interplay between few
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Job Advertisement 2026-04 At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the Department “Optical and Rocket Soundings” is available as PhD Student, Multi
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physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams and have
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, heat removal, and temperature feedback. This PhD will develop and validate an integrated, computationally efficient modelling workflow for monolithic HPCR systems, coupling deterministic reactor physics
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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semester and will fully participate in the ongoing activities of the Gurmani Center and MGSHSS. PhD Scholars would be required to be physically on campus during the two semesters. The PhD scholarship is open
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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, imaging and diagnostic). However, there is currently no generic, metrology-grounded AI/ML framework that fuses these heterogeneous data with physics-based models to create trustworthy, asset-specific
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or comparable degree in physics, biology, bioengineering, material engineering or a related discipline. You have experimental experience in cell/tissue culture, microfluidics, or a related discipline. You enjoy