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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago
. The selected candidate will use data from these two lunar missions to focus on gravity field determination for the Moon, with the main topics being high-resolution gravity field models for modeling the structure
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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will work in the group led by Professor Paolo Monti, whose research focuses on transport network design, resilience, and AI-driven network automation for 5G and 6G infrastructures. About the research
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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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on-going studies include PET/MR/CT imaging in liver, adipose tissue, and brain during obesity. Responsibilities involve working with preclinical animal models, preclinical and clinical PET imaging, image
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Pancreas Program seeks an exceptional Postdoctoral Scholar to lead hypothesis driven mechanistic research focused on how vitamin A signaling and transport regulate inflammation, tissue injury, and recovery
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, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research experience in perception, consciousness, cognition, or emotions will also be valued
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and expectations Requirements : We are looking for a researcher who is initiative and self-driven, enthusiastic in solving biomedical problems, and rigorous in their scientific work. A doctoral degree
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, plasma polymer growth mechanisms, and the physicochemical properties of the resulting coatings, and for transferring the optimized conditions from model surfaces to magnetic nanoparticles. The main