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related field PostDoc track: PhD in a relevant discipline with a record in medical image analysis / ML Strong programming skills (e.g., Python, PyTorch/TensorFlow; image processing frameworks) Background in
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MATLAB, Python, or similar platforms, with strong statistical analysis skills. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive
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robotic systems for real-world tasks. Strong publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC. Proficiency in Python, C++, ROS, and machine learning
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. Proven track record of high-quality research and publications. Solid programming and modeling skills (e.g., Python, MATLAB, C++,TensorFlow/PyTorch). Familiarity with quantum information theory or quantum
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 4 days ago
the research field of translational medical physics for proton or ion beam therapy; focusing on biological modelling is an advantage # Very good programming skills, e.g. in python # Actively pursued publishing
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with basic continuum and rock mechanics, including computational approaches. * Programming in C / python / Julia or equivalent, and ideally some experience with high-performance computing * Familiarity
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programming in R, Python, and mathematics/statistics. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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understanding, or digital twins • Experience working with real-world and synthetic datasets and sensors (e.g., RGB, depth, LiDAR) • Proficiency in Python and frameworks such as PyTorch, OpenCV, or Open3D • US
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field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject