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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming
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contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
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We are seeking a highly motivated postdoctoral researcher to join the Center for Nanoscale Materials (CNM) at Argonne National Laboratory. The successful candidate will contribute to the development
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Raman system in close collaboration with industrial stakeholders (Veridis) If the project is successful, Veridis intends to offer a follow up to continue the development. Where to apply Website https
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experimental evaluation of algorithms. Prepare and publish research findings in peer-reviewed journals and present results at conferences. Assist in the mentorship of graduate and undergraduate students
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School (LUBS) are offering two‑year Post Doctoral Fellowship Schemes to support early‑career researchers to develop world‑class research and strengthen their academic progression. Fellows receive
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algorithms will be used to assess how different neutrophil subpopulations directly and indirectly kill tumour cells, and how this behaviour is influenced by other cells in the tumor microenvironment. Analysing
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: genetics, epigenetics, inflammation, metabolic pathology, autoinflammatory pathology, autoimmunity, arthritis, computational analysis, mathematical modeling, applied algorithms, machine learning in biology
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models