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, or related discipline). Degree must have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python
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to translate across immune-refractory tumors--our program fuses immunocompetent mouse models, patient-derived organoids, single-cell / spatial multi-omics, and CRISPR-based functional genomics. You will drive
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have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python and R coding. Stipend $60,000.00
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to develop data-driven, space-time explicit precision agronomic solutions Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation Designing
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work in the Atlantis modeling environment. Job Duties Include: Apply Ecospace modeling software to develop a new model and simulate a wide range of spatially explicit management strategies intended
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, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from patients
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and cancer. Ultimately, we aim to mitigate the pathogenesis and develop treatments for chronic metabolic diseases. We have established unique, comprehensive mouse models for: 1) real-time labeling and
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transcriptomics and screening experiments. Analysis of perturbation and spatial-omics datasets Build predictive models delivering novel scientific insights. Who You Are: Ph.D.in Biology, Bioengineering, Molecular
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brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic sequencing to study the cellular and molecular changes. The role involves both
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, including bulk and spatial metabolomics and other high-throughput platforms. Collaborate with interdisciplinary teams to integrate experimental findings and drive translational research objectives. Prepare