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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
), financed by national funds through FCT Workplan: The main objective of the fellowship will be to study the effects of heterogeneity in spatially-structured or host-structured multi-species models governed by
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in Data Science and Statistics with expertise in the application of data science to spatial and space-time data from problems throughout the geosciences. The Department of Applied Mathematics and
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multidisciplinary clinical and translational research team focused on advanced multi-omics-based trials in colorectal cancer. The successful candidate will support the analyses of single-cell and spatial
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Posting Description RESEARCH SCIENTIST 3, CHUNG LAB, Picower Institute for Learning and Memory, is a pivotal role responsible for generating spatial transcriptomic and proteomic optical imaging data
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Posting Description RESEARCH SCIENTIST 1, CHUNG LAB, Picower Institute for Learning and Memory, is a pivotal role responsible for generating spatial transcriptomic and proteomic optical imaging data
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systems characterized by a high spatial and temporal variability of energy supply and demand. We look forward to your application. We are offering an interesting PhD position – Learning Tailored Iterative
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
to natural resources include managed landscapes such as agricultural systems and working forests, where irrigation practices create complex spatial and temporal patterns that are difficult to detect and
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. The main activities include: (i) the experimental implementation and characterisation (spectral, spatial and intensity noise) of frequency conversion devices using chalcogenide components/materials (crystals
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situ or even operando (laboratory and Synchrotron), and modeling tools (Monte Carlo, molecular and Brownian dynamics, machine learning), allowing, as often as possible, spatially and temporally resolved
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research and teaching will use spatial data and modelling to explore alternative futures of land use at local, European and global scales. You will show policy makers and different stakeholder groups