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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 2 months ago
from blood and tissue samples of cancer patients treated with immunotherapy. These data include flow cytometry, scRNA-seq, spatial transcriptomics, and co-registered multiplex immunofluorescence (mIF
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population register data and apply advanced causal inference and longitudinal methods, including marginal structural models, inverse probability weighting, and other approaches that address time-varying
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framework and model to anticipate the environmental criticality of raw materials, with specific focus on their extraction. This PhD will provide a thorough assessment of the environmental pressures induced by
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/2026 Back to Search Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics Posting Number req26727 Department Biosphere 2 Department Website Link https
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addition to this unique and powerful animal model, we employ a broad range of approaches, including human pluripotent stem cells, brain organoids, genome editing, high-resolution imaging, single-cell sequencing, spatial
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
refinement Identify missing physics from simulations (spatial inhomogeneity, back-reaction, attractors) and propose model extensions or semi-empirical corrections. Derive/implement models and fit parameters
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from aquatic sediments represent a major uncertainty in the global carbon cycle. This project seeks to advance our mechanistic understanding of methane gas dynamics across multiple spatial scales by
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
studies with patient-derived models and clinically relevant preclinical systems, we seek to identify novel therapeutic vulnerabilities that can ultimately improve treatment options for patients with SCLC
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framework for the temporal integration of Earth system models with observational data from our spatially distributed sensor network (ITEM), as well as Earth observation imagery. With this framework, you will
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. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions or removals from vegetated wetlands, coastal systems, and inland