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“Enhancing Machine Learning Approaches for Spatially Dependent Data in Fisheries and Environmental Research” (CMAT, University of Minho), reference 2024.15617.PEX, financed by national funds through
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électriques ou électromagnétiques (Arnason et al., 2025, e.g. Vilhjalmson et Flovenz, 2017, Lévy et al., 2019). L'objet d'étude concernera la caractérisation à haute résolution spatiale des systèmes volcaniques
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translational model systems. The research environment provides access to state-of-the-art facilities in genome editing, biological mass spectrometry, advanced imaging, spatial transcriptomics, and 3D
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cover letter to: Jenny Hasija Administrative Specialist jenifer@med.umich.edu Focus area: Spatial biology quantitative analysis. The selected candidate will perform quantitative analysis of spatial
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. Spectral dynamics of the conditional Lyapunov vector (https://www-cambridge-org.sheffield.idm.oclc.org/core/journals/journal-of-fluid-mechanics/article/spectral-dynamics-and-spatial-structures
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culture, spatial proteomics, NGS and cloning. Following training, there is an expectation to execute experiments independently to generate data suitable for publication. (10%) Laboratory Management
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
on digital spatial profiling of human issues and applying analytical frameworks, The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
/Administrative Internal Number: 25518 RESEARCH SCIENTIST 3, CHUNG LAB, Picower Institute for Learning and Memory, is a pivotal role responsible for generating spatial transcriptomic and proteomic optical imaging
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
/Administrative Internal Number: 25519 RESEARCH SCIENTIST 1, CHUNG LAB, Picower Institute for Learning and Memory, is a pivotal role responsible for generating spatial transcriptomic and proteomic optical imaging
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at different spatial, temporal, and phylogenetic scales (especially, within species vs. across species), characterizing the ability of plant traits to predict plant functional responses to abiotic changes, and