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interdisciplinary collaboration, in addition to their own specialty. Skills and knowledge related to data handling, such as the acquisition, analysis, and modeling of observational data, are highly desirable. 2
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forest systems.The position offers the opportunity to work across scales and methods, integrating quantitative risk modelling with empirical field data and applied demonstrations to support climate
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zebrafish embryos as a model organism with the ambitious aim of establishing clear evidence for extracellular vesicle-driven crosstalk in the brain beyond synapses. Through the project, you will be trained as
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. XV produces a very rich 4D dataset (3 spatial dimensions + time), showing lung expansion and contraction, and we are working on understanding the best methods for interpreting this data. The successful
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago
(the nation's population is about 400k). An agreement between the Government of Belize and The Nature Conservancy, Belize's Marine Spatial Planning process was launched in October 2022 to reduce public debt by 12
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, and spatial organization, crucial especially in early developmental stages but relevant throughout life. Drawing from cellular and molecular biology, it delves into embryology, morphology, genetics
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-carrier (SC) techniques described in [3], the narrowband beamforming model, where signals received over different antenna elements are identical up to a phase shift, may become invalid so that additional
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spatial and temporal data analysis using advanced machine learning technologies. The successful candidate will become a part of an interdisciplinary team working to develop machine learning techniques