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model validation. Strong Python skills, experience with deep learning frameworks such as PyTorch, and tools for processing complex and/or spatial data. Initial experience in teaching, workshop
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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cell populations using spatial transcriptomics. Mechanisms by which bacteria modulate the tumor microenvironment will be studied using orthotopic mouse models, with a focus on myeloid cell populations
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
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Expertise in one or more of spatial/landscape/community ecology, trait-based/functional ecology, macroecology, or ecological modelling Strong conceptual thinking in ecology Experience with predictive
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satisfactory performance. Expected salary is $70,000/year plus benefits. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology and modeling
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(further funding will be applied for) and focuses on power systems engineering in the context of the next phase of Iceland’s energy transition. It builds directly on established modeling work at Reykjavík
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morphology, cell viability, epithelial organization, barrier-related readouts, and model reproducibility across experimental batches. 30% — Tissue processing, histology, imaging, and spatial-omics preparation
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and educate students to do research relevant for the analysis and modeling of complex real-world problems arising in modern Statistical Data Science. KAUST (https://www.kaust.edu.sa ) is an
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and the African turquoise killifish to model human cardiovascular diseases, polycystic kidney disease (PKD), and cardiac aging. Our research aims to uncover the molecular and cellular mechanisms