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Paravision Micro-CT, optical imaging, photoacoustic imaging, PET, or SPECT Artificial intelligence or machine learning for biomedical image analysis Python, MATLAB, C++, or similar scientific programming
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. The successful candidate will be involved in the gravitational wave astronomy research area as part of the GRAVITY research group, within the framework of the project "Ground-based Discovery Machines
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) develop multimodal machine learning models and methods to determine signatures and biomarkers to understand mechanisms distinguishing spontaneous versus precipitated withdrawal episodes. The spontaneous vs
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agomechanism-driven AI and agentic AI frameworks (iGenSig-AI, G2K) that integrate biological knowledge with cutting-edge machine learning to transform omics data into actionable therapeutic insights
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computer engineering degrees with previous experience in natural language processing; or computational linguistics/language technologies degrees; (b) strong programming skills and machine learning experience
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connected to our activities within applied battery research, and your work will contribute to the development of new knowledge within this field. Your work tasks In this position you will conduct research
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scattering and direct dark matter detection, using advanced cryogenic detectors. The MBI hosts a research group dedicated to Machine Learning in Particle Physics. Qualifications: PhD in Particle Physics
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, knowledge institutions, archives, foundations, cultural institutions and business partners in the Netherlands. It aims to use improved access to digital heritage to tutor the Digital Citizen in the use of big
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, machine learning or quantum information; Proficiency in scientific programming; Excellent communication and scientific writing skills. Preferred Qualifications Equipment Utilized Physical Demands and Work
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plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation