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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
modeling (such as Molecular Dynamics, virtual screening, free energy calculations and Deep Learning), successful experimental collaboration experiences and excellent communication skills are preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
screening, free energy calculations and Deep Learning), successful experimental collaboration experiences and excellent communication skills are preferred. Special Physical/Mental Requirements Special
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
Dynamics, virtual screening, free energy calculations and Deep Learning), successful experimental collaboration experiences and excellent communication skills are preferred. Special Physical/Mental
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About the Opportunity Job Summary The Data-Driven Renewables Research (D2R2) group led by Dr. Peter Schindler is accepting applications for a postdoctoral research associate in the field
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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environment to study these topics given its expertise in Machine and Deep Learning, Computer Vision, Signal Processing, and Multimedia. Also, its declared vision to work especially in presence of imperfect data
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Job related to staff position within a Research Infrastructure? No Offer Description Job description The postdoctoral researcher will work on robot learning for manipulation, exploring state-of-the-art
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scientific curiosity. You thrive at the boundary of robot learning, computer vision, deep learning, and simulation, and you are excited to see your research running on real robots. You communicate clearly
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understanding and generation, media forensics, anomaly detection, multimodal learning with an emphasis on vision-language models, computer vision applications for space. Key responsabilities: Shape research