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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 1 day ago
of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale
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Postdoctoral Fellow in innate immunity Employer: Mount Sinai School of Medicine Research lab: Teunissen lab Institute Biomedical Engineering and Imaging Institute PI: Dr. Abraham Teunissen Location
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experience with 3D systems. Selection process Candidates should send to rita.manco@inserm.fr a CV with publication list, short summary of previous research achievements (1 page) and names and contact details
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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, Computer Science, or other related disciplines, with experience or keen interest in processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts
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process Candidates should send a curriculum vitae with publication list, a short summary of research achievements, a motivation letter and the names and email addresses of at least two references Website
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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Vacancies Postdoc position in microbubbles for ultrasound molecular imaging Key takeaways You will join an interdisciplinary research project in molecular ultrasound imaging using functionalized
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/ ) – an European network of excellence in AI, Machine Learning (ML) and Computer Vision (CV), of which Vittorio is a Fellow member. For this particular position, the focus is on investigating AI approaches
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field equipment, and modern core facilities such as imaging and computational resources. The department offers a research climate characterized by lively, open, and critical academic discussion within and