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to extracellular matrix, macrophages · Prior experience with: o Advanced cellular imaging techniques, including live-cell imaging o Coding/bioinformatics analyses o 3D and/or organoid models o
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, background in imaging, computational modeling, and molecular biology. Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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model development. -Proficiency in molecular and cellular biology techniques (e.g., DNA/RNA extraction, flow cytometry, histology, fluorescence imaging). -Proven record of first-author publications in
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communicators, skilled in conceptualizing complex systems and logic models, and passionate about improving healthcare. This position focuses on the dissemination of trauma and psychological health research
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required; Significant experience in molecular biology and animal models of epilepsy preferred. Requires successful completion of a background check. Selected candidate may be requested to complete a pre
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our lab including single-cell transcriptomic analysis and cellular growth quantification in the plant model organism Oryza Sativa (rice) and beyond. The candidate will work here mainly as a cell and
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of statistical physics, information theory, and computational modeling. RESPONSIBILITIES The Postdoctoral Research Associate will perform basic or applied research of a limited scope, primarily using existing
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complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop predictive models
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countries leading national decarbonization modeling studies inspired by the NZA study. Currently, Princeton is collaborating on NZx studies at various stages of development in Brazil, China, India, and